| 000 | 03357nam a22004935i 4500 | ||
|---|---|---|---|
| 001 | 978-3-031-22057-9 | ||
| 003 | DE-He213 | ||
| 005 | 20240423125428.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 230324s2023 sz | s |||| 0|eng d | ||
| 020 |
_a9783031220579 _9978-3-031-22057-9 |
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| 024 | 7 |
_a10.1007/978-3-031-22057-9 _2doi |
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| 050 | 4 | _aTA345-345.5 | |
| 072 | 7 |
_aUN _2bicssc |
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| 072 | 7 |
_aCOM018000 _2bisacsh |
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| 072 | 7 |
_aUN _2thema |
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| 082 | 0 | 4 |
_a620.00285 _223 |
| 100 | 1 |
_aParsa, Saeed. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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| 245 | 1 | 0 |
_aSoftware Testing Automation _h[electronic resource] : _bTestability Evaluation, Refactoring, Test Data Generation and Fault Localization / _cby Saeed Parsa. |
| 250 | _a1st ed. 2023. | ||
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2023. |
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| 300 |
_aXXIV, 580 p. 741 illus., 668 illus. in color. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 505 | 0 | _aSoftware Testability -- Unit testing and Test-Driven Development -- Acceptance Testing and Behavior Driven Development. | |
| 520 | _aThis book is about the design and development of tools for software testing. It intends to get the reader involved in software testing rather than simply memorizing the concepts. The source codes are downloadable from the book website. The book has three parts: software testability, fault localization, and test data generation. Part I describes unit and acceptance tests and proposes a new method called testability-driven development (TsDD) in support of TDD and BDD. TsDD uses a machine learning model to measure testability before and after refactoring. The reader will learn how to develop the testability prediction model and write software tools for automatic refactoring. Part II focuses on developing tools for automatic fault localization. This part shows the reader how to use a compiler generator to instrument source code, create control flow graphs, identify prime paths, and slice the source code. On top of these tools, a software tool, Diagnoser, is offered to facilitate experimenting with and developing new fault localization algorithms. Diagnoser takes a source code and its test suite as input and reports the coverage provided by the test cases and the suspiciousness score for each statement. Part III proposes using software testing as a prominent part of the cyber-physical system software to uncover and model unknown physical behaviors and the underlying physical rules. The reader will get insights into developing software tools to generate white box test data. . | ||
| 650 | 0 |
_aEngineering _xData processing. |
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| 650 | 0 | _aSoftware engineering. | |
| 650 | 1 | 4 | _aData Engineering. |
| 650 | 2 | 4 | _aSoftware Engineering. |
| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031220562 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031220586 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031220593 |
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-22057-9 |
| 912 | _aZDB-2-SCS | ||
| 912 | _aZDB-2-SXCS | ||
| 942 | _cSPRINGER | ||
| 999 |
_c177835 _d177835 |
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