Topic
System testing
About: System testing is a research topic. Over the lifetime, 6257 publications have been published within this topic receiving 101136 citations.
Papers published on a yearly basis
1 / 2
Papers
Book•
1 Jan 1992
TL;DR: This chapter discusses object-oriented software engineering as a process of change, management and reuse, and some of the methods used to develop and implement object- oriented software.
Abstract: Part 1. Introduction 1. System development as an industrial process Introduction A useful analogy System development characteristics Summary 2. The system life cycle Introduction System development as a process of change System development and reuse System development and methodology Objectory Summary 3. What is object-orientation? Introduction Object Class andinstance Polymorphism Inheritance Summary 4. Object-oriented system development Introduction Function/data methods Object-oriented analysis Object-oriented construction Object-oriented testing Summary 5. Object-oriented programming Introduction Objects Classes and instances Inheritance Polymorphism An example Summary Part II. Concepts 6. Architecture Introduction System development is model building Model architecture Requirements model Analysis model The design model The implementation model Test model Summary 7. Analysis Introduction The requirements model The analysis model Summary 8. Construction Introduction The design model Block design Working with construction Summary 9. Real-time specialization Introduction Classification of real-time systems Fundamental issues Analysis Construction Testing and verification Summary 10. Database Specialization Introduction Relational DBMS Object DBMS Discussion Summary 11. Components Introduction What is a component? Use of components Component management Summary 12. Testing Introduction On testing Unit testing Integration testing System testing The testing process Summary Part III. Applications 13. Case study: warehouse management system Introduction to the examples ACME Warehouse Management Inc. The requirements model The analysis model Construction 14. Case study: telecom Introduction Telecommunication switching systems The requirements model The analysis model The design model The implementation model 15. Managing object-oriented software engineering Introduction Project selection and preparation Project development organization Project organization and management Project staffing Software quality assurance Software metrics Summary 16. Other object-oriented methods Introduction A summary of object-oriented methods Object-Oriented Analysis (OOAD/Coad-Yourdon) Object-Oriented Design (OOD/Booch) Hierarchical Object-Oriented Design (HOOD) Object Modeling Technique (OMT) Responsibility-Driven Design Summary Appendix A On the development of Objectory Introduction Objectory as an activity From idea to reality References Index
3,755 citations
Book•
1 Jan 1990
TL;DR: The new edition of Breuer-Friedman's Diagnosis and Reliable Design ofDigital Systems offers comprehensive and state-ofthe-art treatment of both testing and testable design.
Abstract: For many years, Breuer-Friedman's Diagnosis and Reliable Design ofDigital Systems was the most widely used textbook in digital system testing and testable design. Now, Computer Science Press makes available a new and greativ expanded edition. Incorporating a significant amount of new material related to recently developed technologies, the new edition offers comprehensive and state-ofthe-art treatment of both testing and testable design.
2,917 citations
Book•
1 Jan 2010TL;DR: Theories are made easier to understand with 200 illustrative examples, and students can test their understanding with over 350 end-of-chapter review questions.
Abstract: Understand the structure, behavior, and limitations of logic machines with this thoroughly updated third edition. Many new topics are included, such as CMOS gates, logic synthesis, logic design for emerging nanotechnologies, digital system testing, and asynchronous circuit design, to bring students up-to-speed with modern developments. The intuitive examples and minimal formalism of the previous edition are retained, giving students a text that is logical and easy to follow, yet rigorous. Kohavi and Jha begin with the basics, and then cover combinational logic design and testing, before moving on to more advanced topics in finite-state machine design and testing. Theory is made easier to understand with 200 illustrative examples, and students can test their understanding with over 350 end-of-chapter review questions.
1,701 citations
TL;DR: In this paper, a method of testing the correctness of control structures that can be modeled by a finite-state machine is proposed, based on a result in automata theory and can be applied to software testing.
Abstract: We propose a method of testing the correctness of control structures that can be modeled by a finite-state machine. Test results derived from the design are evaluated against the specification. No "executable" prototype is required. The method is based on a result in automata theory and can be applied to software testing. Its error-detecting capability is compared with that of other approaches. Application experience is summarized.
1,431 citations
TL;DR: Test case prioritization techniques schedule test cases for execution in an order that attempts to increase their effectiveness at meeting some performance goal as discussed by the authors, such as rate of fault detection, a measure of how quickly faults are detected within the testing process.
Abstract: Test case prioritization techniques schedule test cases for execution in an order that attempts to increase their effectiveness at meeting some performance goal. Various goals are possible; one involves rate of fault detection, a measure of how quickly faults are detected within the testing process. An improved rate of fault detection during testing can provide faster feedback on the system under test and let software engineers begin correcting faults earlier than might otherwise be possible. One application of prioritization techniques involves regression testing, the retesting of software following modifications; in this context, prioritization techniques can take advantage of information gathered about the previous execution of test cases to obtain test case orderings. We describe several techniques for using test execution information to prioritize test cases for regression testing, including: 1) techniques that order test cases based on their total coverage of code components; 2) techniques that order test cases based on their coverage of code components not previously covered; and 3) techniques that order test cases based on their estimated ability to reveal faults in the code components that they cover. We report the results of several experiments in which we applied these techniques to various test suites for various programs and measured the rates of fault detection achieved by the prioritized test suites, comparing those rates to the rates achieved by untreated, randomly ordered, and optimally ordered suites.
1,353 citations
Related Topics (5)
Performance Metrics
| Year | Papers |
|---|---|
| 2025 | 7 |
| 2024 | 15 |
| 2023 | 11 |
| 2022 | 25 |
| 2021 | 74 |
| 2020 | 83 |