A strategy for software testing integrates the design of software test cases into a well-planned series of steps that result in successful development of the software.
These slides discuss software testing strategies and accompany the textbook "Software Engineering: A Practitioner's Approach". They cover topics like the definition of testing, the strategic approach to testing, verification vs validation, unit testing, integration testing strategies, regression testing, smoke testing, and testing for object-oriented software. The overall purpose of the slides is to outline best practices and approaches for effectively testing software at various stages from the module level to full system integration and validation.
This document discusses various types of software testing techniques used in the software development lifecycle (SDLC). It begins by describing different SDLC models like waterfall, prototyping, RAD, spiral and V-models. It then discusses the importance of testing at different stages of SDLC and different types of testing like static vs dynamic, black box vs white box, unit vs integration etc. The rest of the document elaborates on specific black box and white box testing techniques like equivalence partitioning, boundary value analysis, cause-effect graphing, statement coverage and basis path testing.
This document discusses requirements modeling in software engineering. It covers creating various models during requirements analysis, including scenario-based models, data models, class-oriented models, flow-oriented models, and behavioral models. These models form the requirements model, which is the first technical representation of a system. The document provides examples of writing use cases and constructing a preliminary use case diagram for a home security system called SafeHome. It emphasizes that requirements modeling lays the foundation for software specification and design.
Software Engineering is the set of processes and tools to develop software. Software Engineering is the combination of all the tools, techniques, and processes that used in software production. Therefore Software Engineering encompasses all those things that are used in software production like :
Programming Language
Programming Language Design
Software Design Techniques
Tools
Testing
Maintenance
Development etc.
These days object-oriented programming is widely being used. If programming languages will not support object-orientation then it will be very difficult to implement object-oriented design using object-oriented principles. All these efforts made the basis of software engineering.
System Testing. SYSTEM TESTING is a level of software testing where a complete and integrated software is tested. The purpose of this test is to evaluate the system's compliance with the specified requirements. system testing: The process of testing an integrated system to verify that it meets specified requirements.
The document discusses verification and validation (V&V) in software engineering. It defines verification as ensuring a product is built correctly, and validation as ensuring the right product is built. V&V aims to discover defects and assess if a system is usable. Static and dynamic verification methods are covered, including inspections, testing, and automated analysis. The document outlines V&V goals, the debugging process, V-model development, test planning, and inspection techniques.
Software testing is the process of evaluation a software item to detect differences between given input and expected output. Also to assess the feature of A software item. Testing assesses the quality of the product. Software testing is a process that should be done during the development process. In other words software testing is a verification and validation process.
Software testing can also provide an objective, independent view of the software to allow the business to appreciate and understand the risks of software implementation. Test techniques include, but are not limited to the process of executing a program or application with the intent of finding software bugs (errors or other defects).
Software testing can be stated as the process of validating and verifying that a computer program/application/product:
• meets the requirements that guided its design and development,
• works as expected,
• can be implemented with the same characteristics,
• and satisfies the needs of stakeholders.
Software Development Process Cycle:-
PLAN (P): Device a plan. Define your objective and determine the strategy and supporting methods required to achieve that objective.
DO (D): Execute the plan. Create the conditions and perform the necessary training to execute the plan.
CHECK (C): Check the results. Check to determine whether work is progressing according to the plan and whether the results are obtained.
ACTION (A): Take the necessary and appropriate action if checkup reveals that the work is not being performed according to plan or not as anticipated.
This document provides an overview of software testing concepts and processes. It discusses the importance of testing in the software development lifecycle and defines key terms like errors, bugs, faults, and failures. It also describes different types of testing like unit testing, integration testing, system testing, and acceptance testing. Finally, it covers quality assurance and quality control processes and how bugs are managed throughout their lifecycle.
Software testing is an important phase of the software development process that evaluates the functionality and quality of a software application. It involves executing a program or system with the intent of finding errors. Some key points:
- Software testing is needed to identify defects, ensure customer satisfaction, and deliver high quality products with lower maintenance costs.
- It is important for different stakeholders like developers, testers, managers, and end users to work together throughout the testing process.
- There are various types of testing like unit testing, integration testing, system testing, and different methodologies like manual and automated testing. Proper documentation is also important.
- Testing helps improve the overall quality of software but can never prove that there
Black-box testing is a method of software testing that examines the functionality of an application based on the specifications.
White box testing is a testing technique, that examines the program structure and derives test data from the program logic/code
Integration testing verifies the interfaces between software modules. It has two categories: bottom-up integration starts with unit testing, then subsystem testing, and finally system testing; top-down integration starts with the main routine and tests subroutines in order, using stubs. Automated tools can help with integration testing, such as module drivers, test data generators, environment simulators, and library management systems.
This ppt covers the following
A strategic approach to testing
Test strategies for conventional software
Test strategies for object-oriented software
Validation testing
System testing
The art of debugging
1. The document discusses different types of software testing including manual testing, automation testing, black-box testing, white-box testing, grey-box testing, and different levels of testing like unit testing, integration testing, system testing, regression testing, and acceptance testing.
2. It provides details on when each type of testing is used and their objectives such as finding defects, ensuring quality, and meeting requirements.
3. The key types of testing covered include functional testing, which has sub-types like unit, integration, system, regression, and acceptance testing, and non-functional testing.
Increasing demand in technology is increasing in the number of people choosing software testing as their career path. While it requires a set of technical skills, there are a lot of other things to consider before getting into the field. Here are some that may help you.
The document discusses requirements analysis and analysis modeling principles for software engineering. It covers key topics such as:
1. Requirements analysis specifies a software's operational characteristics and interface with other systems to establish constraints. Analysis modeling focuses on what the software needs to do, not how it will be implemented.
2. Analysis modeling principles include representing the information domain, defining functions, modeling behavior, partitioning complex problems, and moving from essential information to implementation details.
3. Common analysis techniques involve use case diagrams, class diagrams, state diagrams, data flow diagrams, and data modeling to define attributes, relationships, cardinality and modality between data objects.
The document discusses various software testing techniques, including black-box testing and white-box testing. It focuses on white-box testing techniques like basis path testing. Basis path testing uses the control flow graph of a program to identify the minimum number of test paths needed to guarantee that all statements are executed at least once. These basis paths are used to derive test cases that achieve full statement coverage. The cyclomatic complexity metric can be used to measure the number of independent paths in a program and guide test planning.
The document discusses the phases of the Software Testing Life Cycle (STLC). It begins by introducing the group members and defining software testing as a process to find bugs by executing a program. It then outlines the six main phases of the STLC: 1) Requirements analysis to understand requirements and identify test cases, 2) Test planning to create test plans and strategies, 3) Test case development to write test cases and scripts, 4) Environment setup to prepare the test environment, 5) Test execution and bug reporting to run tests and log defects, and 6) Test cycle closure to review testing artifacts and lessons learned. Each phase is described in 1-2 sentences with its activities, deliverables, and examples provided.
The components of an operating system all exist in order to make the different parts of a computer work together. All user software needs to go through the operating system in order to use any of the hardware, whether it be as simple as a mouse or keyboard or as complex as an Internet component.
Design and Implementation in Software EngineeringKourosh Sajjadi
These slides were presented to the software engineering class held in IAUN. The main context is provided from the "Software Engineering" book authored by Sommerville.
Most of the icons used in the slides are provided in the flaticon.com website.
Thanks to our professor Habib Seifzadeh.
A cooperation with Mohammad Mostajeran.
Component-based software engineering (CBSE) is a process that emphasizes designing and building systems using reusable software components. It emerged from failures of object-oriented development to enable effective reuse. CBSE follows a "buy, don't build" philosophy where requirements are met through available components rather than custom development. The CBSE process involves identifying components, qualifying them, adapting them if needed, and assembling them within an architectural design. This leverages reuse for increased quality, productivity, and reduced development time compared to traditional software engineering approaches.
Validation testing involves black box testing to check if the software meets customer expectations by satisfying requirements, achieving behavioral characteristics, attaining performance standards, and ensuring documentation is correct. Configuration review checks if all software elements were properly developed. Alpha testing is done by customers at developer sites in a controlled environment, while beta testing involves end users testing software in uncontrolled environments at customer sites.
This document provides an introduction to software engineering. It defines software as a set of instructions that provide desired functions when executed. Engineering is defined as applying scientific methods to construct, operate, modify and maintain useful devices and systems. Software engineering then applies technologies and practices from computer science, project management, and other fields to the design, development and documentation of software. Some key characteristics of software discussed are that it is developed rather than manufactured, can be easily modified and reproduced, and does not wear out. The document also outlines various types of software applications and discusses software engineering as a layered technology with foundations in quality focus, processes, methods and tools. Finally, it addresses some common software myths from management, customer, and practitioner perspectives.
This document provides an overview of distributed operating systems, including:
- A distributed operating system runs applications on multiple connected computers that look like a single centralized system to users. It distributes jobs across processors for efficient processing.
- Early research began in the 1950s with systems like DYSEAC and Lincoln TX-2 that exhibited distributed control features. Major development occurred from the 1970s-1990s, though few systems achieved commercial success.
- Key considerations in designing distributed operating systems include transparency, inter-process communication, process management, resource management, reliability, and performance. Examples of distributed operating systems include Windows Server and Linux-based systems.
The document discusses various techniques for software testing including whitebox testing, blackbox testing, unit testing, integration testing, validation testing, and system testing. It provides details on techniques like equivalence partitioning, boundary value analysis, orthogonal array testing, and graph matrices. The objective of testing is to systematically uncover errors in a minimum amount of time and effort. Testing should begin with unit testing and progress towards integration and system-level testing.
This lecture is about the detail definition of software quality and quality assurance. Provide details about software tesing and its types. Clear the basic concepts of software quality and software testing.
This document discusses models of interaction between humans and computers. It describes Norman's model of the execution-evaluation cycle, which outlines 7 stages of interaction: establishing a goal, forming an intention, specifying actions, executing actions, perceiving the system state, interpreting the state, and evaluating it. It also discusses Abowd and Beale's interaction framework, which includes the system, user, input, and output as components and how there are translations between them. Key concepts discussed include the gulfs of execution and evaluation, different interaction styles, and how interface design can help reduce errors.
Module V - Software Testing Strategies.pdfadhithanr
This document discusses strategies for software testing, including test planning, unit testing, integration testing, and validation. It provides details on:
- Developing a testing strategy that incorporates test planning, design, execution, data collection, and evaluation.
- Conducting unit testing on individual software components to test interfaces, data structures, paths, and boundaries.
- Performing integration testing by combining tested units and testing interfaces to avoid issues with data loss or component interactions.
- The goals of verification to ensure correct implementation and validation to ensure requirements traceability.
The document discusses various software testing strategies, including unit testing, integration testing, validation testing, and system testing. It provides details on test strategies for both conventional and object-oriented software. For conventional software, it describes unit testing targets, integration techniques like top-down and bottom-up integration, and regression testing. For object-oriented software, it discusses class testing and thread-based or use-based testing strategies.
This document provides an overview of software testing concepts and processes. It discusses the importance of testing in the software development lifecycle and defines key terms like errors, bugs, faults, and failures. It also describes different types of testing like unit testing, integration testing, system testing, and acceptance testing. Finally, it covers quality assurance and quality control processes and how bugs are managed throughout their lifecycle.
Software testing is an important phase of the software development process that evaluates the functionality and quality of a software application. It involves executing a program or system with the intent of finding errors. Some key points:
- Software testing is needed to identify defects, ensure customer satisfaction, and deliver high quality products with lower maintenance costs.
- It is important for different stakeholders like developers, testers, managers, and end users to work together throughout the testing process.
- There are various types of testing like unit testing, integration testing, system testing, and different methodologies like manual and automated testing. Proper documentation is also important.
- Testing helps improve the overall quality of software but can never prove that there
Black-box testing is a method of software testing that examines the functionality of an application based on the specifications.
White box testing is a testing technique, that examines the program structure and derives test data from the program logic/code
Integration testing verifies the interfaces between software modules. It has two categories: bottom-up integration starts with unit testing, then subsystem testing, and finally system testing; top-down integration starts with the main routine and tests subroutines in order, using stubs. Automated tools can help with integration testing, such as module drivers, test data generators, environment simulators, and library management systems.
This ppt covers the following
A strategic approach to testing
Test strategies for conventional software
Test strategies for object-oriented software
Validation testing
System testing
The art of debugging
1. The document discusses different types of software testing including manual testing, automation testing, black-box testing, white-box testing, grey-box testing, and different levels of testing like unit testing, integration testing, system testing, regression testing, and acceptance testing.
2. It provides details on when each type of testing is used and their objectives such as finding defects, ensuring quality, and meeting requirements.
3. The key types of testing covered include functional testing, which has sub-types like unit, integration, system, regression, and acceptance testing, and non-functional testing.
Increasing demand in technology is increasing in the number of people choosing software testing as their career path. While it requires a set of technical skills, there are a lot of other things to consider before getting into the field. Here are some that may help you.
The document discusses requirements analysis and analysis modeling principles for software engineering. It covers key topics such as:
1. Requirements analysis specifies a software's operational characteristics and interface with other systems to establish constraints. Analysis modeling focuses on what the software needs to do, not how it will be implemented.
2. Analysis modeling principles include representing the information domain, defining functions, modeling behavior, partitioning complex problems, and moving from essential information to implementation details.
3. Common analysis techniques involve use case diagrams, class diagrams, state diagrams, data flow diagrams, and data modeling to define attributes, relationships, cardinality and modality between data objects.
The document discusses various software testing techniques, including black-box testing and white-box testing. It focuses on white-box testing techniques like basis path testing. Basis path testing uses the control flow graph of a program to identify the minimum number of test paths needed to guarantee that all statements are executed at least once. These basis paths are used to derive test cases that achieve full statement coverage. The cyclomatic complexity metric can be used to measure the number of independent paths in a program and guide test planning.
The document discusses the phases of the Software Testing Life Cycle (STLC). It begins by introducing the group members and defining software testing as a process to find bugs by executing a program. It then outlines the six main phases of the STLC: 1) Requirements analysis to understand requirements and identify test cases, 2) Test planning to create test plans and strategies, 3) Test case development to write test cases and scripts, 4) Environment setup to prepare the test environment, 5) Test execution and bug reporting to run tests and log defects, and 6) Test cycle closure to review testing artifacts and lessons learned. Each phase is described in 1-2 sentences with its activities, deliverables, and examples provided.
The components of an operating system all exist in order to make the different parts of a computer work together. All user software needs to go through the operating system in order to use any of the hardware, whether it be as simple as a mouse or keyboard or as complex as an Internet component.
Design and Implementation in Software EngineeringKourosh Sajjadi
These slides were presented to the software engineering class held in IAUN. The main context is provided from the "Software Engineering" book authored by Sommerville.
Most of the icons used in the slides are provided in the flaticon.com website.
Thanks to our professor Habib Seifzadeh.
A cooperation with Mohammad Mostajeran.
Component-based software engineering (CBSE) is a process that emphasizes designing and building systems using reusable software components. It emerged from failures of object-oriented development to enable effective reuse. CBSE follows a "buy, don't build" philosophy where requirements are met through available components rather than custom development. The CBSE process involves identifying components, qualifying them, adapting them if needed, and assembling them within an architectural design. This leverages reuse for increased quality, productivity, and reduced development time compared to traditional software engineering approaches.
Validation testing involves black box testing to check if the software meets customer expectations by satisfying requirements, achieving behavioral characteristics, attaining performance standards, and ensuring documentation is correct. Configuration review checks if all software elements were properly developed. Alpha testing is done by customers at developer sites in a controlled environment, while beta testing involves end users testing software in uncontrolled environments at customer sites.
This document provides an introduction to software engineering. It defines software as a set of instructions that provide desired functions when executed. Engineering is defined as applying scientific methods to construct, operate, modify and maintain useful devices and systems. Software engineering then applies technologies and practices from computer science, project management, and other fields to the design, development and documentation of software. Some key characteristics of software discussed are that it is developed rather than manufactured, can be easily modified and reproduced, and does not wear out. The document also outlines various types of software applications and discusses software engineering as a layered technology with foundations in quality focus, processes, methods and tools. Finally, it addresses some common software myths from management, customer, and practitioner perspectives.
This document provides an overview of distributed operating systems, including:
- A distributed operating system runs applications on multiple connected computers that look like a single centralized system to users. It distributes jobs across processors for efficient processing.
- Early research began in the 1950s with systems like DYSEAC and Lincoln TX-2 that exhibited distributed control features. Major development occurred from the 1970s-1990s, though few systems achieved commercial success.
- Key considerations in designing distributed operating systems include transparency, inter-process communication, process management, resource management, reliability, and performance. Examples of distributed operating systems include Windows Server and Linux-based systems.
The document discusses various techniques for software testing including whitebox testing, blackbox testing, unit testing, integration testing, validation testing, and system testing. It provides details on techniques like equivalence partitioning, boundary value analysis, orthogonal array testing, and graph matrices. The objective of testing is to systematically uncover errors in a minimum amount of time and effort. Testing should begin with unit testing and progress towards integration and system-level testing.
This lecture is about the detail definition of software quality and quality assurance. Provide details about software tesing and its types. Clear the basic concepts of software quality and software testing.
This document discusses models of interaction between humans and computers. It describes Norman's model of the execution-evaluation cycle, which outlines 7 stages of interaction: establishing a goal, forming an intention, specifying actions, executing actions, perceiving the system state, interpreting the state, and evaluating it. It also discusses Abowd and Beale's interaction framework, which includes the system, user, input, and output as components and how there are translations between them. Key concepts discussed include the gulfs of execution and evaluation, different interaction styles, and how interface design can help reduce errors.
Module V - Software Testing Strategies.pdfadhithanr
This document discusses strategies for software testing, including test planning, unit testing, integration testing, and validation. It provides details on:
- Developing a testing strategy that incorporates test planning, design, execution, data collection, and evaluation.
- Conducting unit testing on individual software components to test interfaces, data structures, paths, and boundaries.
- Performing integration testing by combining tested units and testing interfaces to avoid issues with data loss or component interactions.
- The goals of verification to ensure correct implementation and validation to ensure requirements traceability.
The document discusses various software testing strategies, including unit testing, integration testing, validation testing, and system testing. It provides details on test strategies for both conventional and object-oriented software. For conventional software, it describes unit testing targets, integration techniques like top-down and bottom-up integration, and regression testing. For object-oriented software, it discusses class testing and thread-based or use-based testing strategies.
The document provides an overview of software testing strategies. It discusses that the main objective of software testing is to systematically find errors without taking much time. It emphasizes the importance of choosing the best testing strategy. It then covers various software testing strategies including unit testing, integration testing, validation testing, and system testing. Unit testing involves testing individual software components in isolation while integration testing focuses on testing the interaction between integrated components. The document contrasts the incremental and "big bang" approaches to integration testing and argues that the incremental approach is more effective.
Strategic Approach to Software Testing, Strategic Issues, Test Conventional Software, Test Strategies for Object-Oriented Software, Test Strategies for WebApps, Validation Testing, System Testing, The Art of Debugging, Software Testing Fundamentals, White-Box Testing, Basis Path Testing,
Control Structure Testing
Unit 8 discusses software testing concepts including definitions of testing, who performs testing, test characteristics, levels of testing, and testing approaches. Unit testing focuses on individual program units while integration testing combines units. System testing evaluates a complete integrated system. Testing strategies integrate testing into a planned series of steps from requirements to deployment. Verification ensures correct development while validation confirms the product meets user needs.
Software Testing Strategies, General Characteristics of Strategic Testing, Verification and Validation, Organizing for Software Testing, A Strategy for Testing Conventional Software, Levels of Testing for Conventional Software, Testing Strategy applied to Conventional Software, Startegic Issues-Ensuring a Successful Software Test Strategy, Fundamentals of Software Engineering
A PPT about A Strategic approach to testing, Validation and verfication, Criteria for Completion of testing, STRATEGIC ISSUES, Unit testing,Unit testing considerations and procedures, Unit-test environment,Integration testing,Non-incremental
Integration Testing,Incremental Integration Testing,Top-down Integration,Bottom-up Integration,Regression Testing,Smoke testing
This document discusses various software testing strategies, including unit testing, integration testing, validation testing, and system testing. It provides details on test strategies for conventional software, including focusing unit testing on individual components/functions, using incremental integration testing to combine components, and performing regression and smoke testing. Verification aims to ensure algorithms are coded correctly while validation ensures requirements are met.
Software testing techniques document discusses various software testing methods like unit testing, integration testing, system testing, white box testing, black box testing, performance testing, stress testing, and scalability testing. It provides definitions and characteristics of each method. Some key points made in the document include that unit testing tests individual classes, integration testing tests class interactions, system testing validates functionality, and performance testing evaluates how the system performs under varying loads.
This document discusses software testing practices and processes. It covers topics like unit testing, integration testing, validation testing, test planning, and test types. The key points are that testing aims to find errors, good testing uses both valid and invalid inputs, and testing should have clear objectives and be assigned to experienced people. Testing is done at the unit, integration and system levels using techniques like black box testing.
Software testing strategies And its typesMITULJAMANG
Software Testing is a type of investigation to find out if there is any default or error present in the software so that the errors can be reduced or removed to increase the quality of the software and to check whether it fulfills the specifies requirements or not.
According to Glen Myers, software testing has the following objectives:
The process of investigating and checking a program to find whether there is an error or not and does it fulfill the requirements or not is called testing.
When the number of errors found during the testing is high, it indicates that the testing was good and is a sign of good test case.Finding an unknown error that’s wasn’t discovered yet is a sign of a successful and a good test case
QA and testing are both important for software quality but have different goals. QA is a preventative, process-oriented activity aimed at preventing bugs, while testing is product-oriented and aimed at finding bugs. Key differences between QA and testing are outlined. The document also defines terms like quality control, verification and validation. It describes various testing types like unit, integration, system and acceptance testing as well as techniques like black-box vs white-box testing and manual vs automated testing. Concepts covered include test plans, cases, scripts, suites, logs, beds and deliverables. The importance of a successful test plan is emphasized.
This document discusses various software testing techniques classified into static, dynamic, and exhaustive categories. Static techniques like verification and static analysis do not require executing the program. Dynamic techniques execute the program and are divided into structure-oriented techniques like control flow testing and function-oriented techniques like function coverage and use case testing. Exhaustive techniques aim to cover all possible test cases. The document provides examples and explanations of different testing methods.
Testing is the process of validating and verifying software to ensure it meets specifications and functions as intended. There are different levels of testing including unit, integration, system, and acceptance testing. An important part of testing is having a test plan that outlines the test strategy, cases, and process to be followed. Testing helps find defects so the product can be improved.
The document provides an agenda for Day 2 of an ISTQB Foundation Level training which includes the following topics: test design techniques like test analysis, test design, equivalence partitioning, boundary value analysis, use case testing and experience-based testing. It also discusses test management topics like test leader and tester roles and responsibilities, test plan vs test strategy, estimation techniques, configuration management, risk based testing, exploratory testing and defect management. The last sections provide overviews of tool support for testing and an exercise on classifying different types of triangles based on side lengths.
Testing is a process used to identify the correctness, completeness and quality of developed computer software. It involves finding differences between expected and observed behavior by executing the system with different inputs. The goal of testing is to maximize the number of discovered faults and increase reliability. Testing techniques include unit testing of individual components, integration testing of combined components, and system testing of the full application. Fault avoidance techniques like code reviews aim to prevent errors from being introduced.
The document discusses various software testing techniques including white box testing and black box testing. It provides details on test cases, test suites, and testing conventional applications. Specifically:
- It describes white box and black box testing techniques, and explains that white box tests the implementation while black box tests only the functionality.
- It defines what a test case is and lists typical parameters for a test case like ID, description, test data, expected results. It provides an example test case.
- It explains that a test suite is a container that holds a set of tests and can be in different states. A diagram shows the relationship between test plans, test suites and test cases.
- It discusses unit testing and
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Evaluating cybersecurity risk in medical devices requires a different approach than traditional safety risk assessments. This webinar offers a technical overview of an effective risk assessment approach tailored specifically for cybersecurity.
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In today's world, artificial intelligence (AI) is transforming the way we learn. This talk will explore how we can use AI tools to enhance our learning experiences. We will try out some AI tools that can help with planning, practicing, researching etc.
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Have you ever spent lots of time creating your shiny new Agentforce Agent only to then have issues getting that Agent into Production from your sandbox? Come along to this informative talk from Copado to see how they are automating the process. Ask questions and spend some quality time with fellow developers in our first session for the year.
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Software Testing Strategies
1. SOFTWARE TESTING STRATEGIES
SUBMITTED TO:- SUBMITTED BY:-
MR. RAKESH KUMAR ALPANA (171401)
ASTT. PROFESSOR ME MODULAR(CSE)
COMPUTER SCIENCE & ENGG. E-MAIL:-anshubhaskar93@gmail.com
NITTTR CHANDIGARH
2. CONTENTS
•Introduction
•A strategic approach to testing
•Test strategies for conventional software
•Test strategies for object-oriented software
•Difference between conventional and object-
oriented software testing
•Reference
3. Introduction
• A strategy for software testing integrates the design of software test
cases into a well-planned series of steps that result in successful
development of the software.
• The strategy provides a road map that describes the steps to be taken,
when, and how much effort, time, and resources will be required.
4. • The strategy incorporates test planning, test case design, test execution,
and test result collection and evaluation.
• The strategy provides guidance for the practitioner and a set of
milestones for the manager .Because of time pressures, progress must be
measurable and problems must surface as early as possible.
5. A STRATEGIC APPROACH TO TESTING
• To perform effective testing, a software team should conduct
effective formal technical reviews.
• Testing begins at the component level and work outward toward the
integration of the entire computer based system.
• Different testing techniques are appropriate at different points in
time.
• Testing is conducted by the developer of the software and (for large
projects) by an independent test group.
• Testing and debugging are different activities, but debugging must be
accommodated in any testing strategy.
6. SOFTWARE TESTING STRATEGY
• Unit testing
– Concentrates on each
component/function of the
software as implemented in
the source code
• Integration testing
– Focuses on the design and
construction of the software
architecture
• Validation testing
– Requirements are validated
against the constructed software
• System testing
– The software and other system
elements are tested as a whole
8. TEST STRATEGIES FOR CONVENTIONAL
SOFTWARE
(1) Unit Testing
• Focuses testing on the function or software module
• Concentrates on the internal processing logic and data structures
• Is simplified when a module is designed with high cohesion
• Reduces the number of test cases
• Allows errors to be more easily predicted and uncovered
• Concentrates on critical modules and those with high cyclomatic
complexity when testing resources are limited
9. TARGETS FOR UNIT TEST CASES
• Module interface
• Ensure that information flows properly into and out of the module
• Local data structures
• Ensure that data stored temporarily maintains its integrity during all
steps in an algorithm execution
• Boundary conditions
• Ensure that the module operates properly at boundary values
established to limit or restrict processing
• Independent paths (basis paths)
• Paths are exercised to ensure that all statements in a module have
been executed at least once
• Error handling paths
• Ensure that the algorithms respond correctly to specific error
11. DRIVERS AND STUBS FOR UNIT
TESTING
• Driver
• A simple main program that accepts test case data, passes such data to
the component being tested, and prints the returned results
• Stubs
• Serve to replace modules that are subordinate to (called by) the
component to be tested
• It uses the module’s exact interface, may do minimal data
manipulation, provides verification of entry, and returns control to the
module undergoing testing
• Drivers and stubs both represent overhead
• Both must be written but don’t constitute part of the installed
software product
12. (2) Integration Testing
• Defined as a systematic technique for constructing the software
architecture
• At the same time integration is occurring, conduct tests to uncover
errors associated with interfaces
• Objective is to take unit tested modules and build a program structure
based on the prescribed design
• Two Approaches
• Non-incremental Integration Testing
• Incremental Integration Testing
13. NON-INCREMENTAL INTEGRATION
TESTING
• Commonly called the “Big Bang” approach
• All components are combined in advance
• The entire program is tested as a whole
• Chaos results
• Many seemingly-unrelated errors are encountered
• Correction is difficult because isolation of causes is complicated
• Once a set of errors are corrected, more errors occur, and testing appears
to enter an endless loop
14. INCREMENTAL INTEGRATION
TESTING
• Three kinds
• Top-down integration
• Bottom-up integration
• Sandwich integration
• The program is constructed and tested
in small increments.
• Errors are easier to isolate and correct.
• Interfaces are more likely to be tested
completely.
• A systematic test approach is applied.
15. OBJECT-ORIENTED TESTING
STRATEGIES
(1) Unit Testing
• Smallest testable unit is the encapsulated class or object
• Test each operation as part of a class hierarchy because its class
hierarchy defines its context of use
• Driven by class operations and state behavior, not algorithmic detail and
data flow across module interface
• Approach: Test each method (and constructor) within a class Test the
state behavior (attributes) of the class between methods
16. CONTD…
• Complete test coverage of a class involves Testing all operations Setting
and interrogating all object attributes Exercising the object in all possible
state .
• Test sequences are designed to ensure that relevant operations are
exercised .
• State of the class is examined to determine if errors exist .
17. CONTD…
• How is class testing different from conventional testing?
• Conventional testing focuses on input- process-output, whereas class
testing focuses on each method, then designing sequences of methods to
exercise states of a class.
• But white-box testing can still be applied .
18. CONTD…
(2) Integration Testing
• OO does not have a hierarchical control structure so conventional top-
down and bottom-up integration tests have little meaning .
• Focuses on groups of classes that collaborate in some manner.
• Integration of operations one at a time into a class is often meaningless
Because of direct and indirect interaction of components .
19. CONTD…
• Thread-based testing Testing/integrate the set of classes required to
respond to one input or event
• Cluster testing Groups of collaborating classes are tested for interaction
errors
• Regression testing is important as each thread, cluster or subsystem is
added to the system
20. CONTD…
(3)Validation Testing
• Are we building the right product?
• Validation succeeds when software functions in a manner that can be
reasonably expected by the customer.
• Focuses on visible user actions and user recognizable outputs
• Validation tests are based on the use-case scenarios, the object behavior
model, and the event flow diagram
21. CONTD…
• Apply:
• Use-case scenarios from the software requirements spec
• Black-box testing to create a deficiency list
• Acceptance tests through alpha (at developer’s site) and beta (at customer’s site)
testing with actual customers
22. CONTD…
• Software may be part of a larger system.
• This often leads to “finger pointing” by other system dev teams Finger
pointing defence:
• 1. Design error-handling paths that test external information
• 2. Conduct a series of tests that simulate bad data
• 3. Record the results of tests to use as evidence
23. CONTD…
(4)System Testing
• Types of System Testing:
• Recovery testing: how well and quickly does the system recover from faults.
• Security testing: verify that protection mechanisms built into the system will
protect from unauthorized access (hackers, disgruntled employees, fraudsters).
• Stress testing: place abnormal load on the system .
• Performance testing: investigate the run-time performance within the context
of an integrated system .
24. DIFFERENCE BETWEEN CONVENTIONAL AND
OBJECT ORIENTED TESTING
Conventional testing
• Conventional testing is the
traditional approach to testing
mostly done when water fall life
cycle is used for development.
• Conventional testing focuses more
on decomposition and functional
approaches.
Object oriented testing
• Object oriented testing is used
when object oriented analysis and
design is used for developing
enterprise software.
• Object oriented testing, uses
composition.
25. Conventional testing
• The three levels of testing
(system, integration, unit) used in
conventional testing.
• Traditional development follows a
sequential approach.
• Needs to large duration
sometimes to development the
large projects.
• Uses common processes likes:
analysis, design, implementation,
and testing
Object oriented testing
• not clearly defined when it comes
to object oriented testing.
• OO development uses incremental
approach.
• Need to more time than
Traditional approach and leads
that to more cost.
• Uses UML notations likes: use
case, class diagram,
communication diagram,
development diagram and
sequence diagram.