| 000 | 02384nam a2200277Ia 4500 | ||
|---|---|---|---|
| 000 | 02859nam a22003135i 4500 | ||
| 001 | 978-3-031-22057-9 | ||
| 003 | DE-He213 | ||
| 005 | 20240319120849.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 230324s2023 sz | s |||| 0|eng d | ||
| 020 |
_a9783031220579 _9978-3-031-22057-9 |
||
| 082 | _a620.00285 | ||
| 100 |
_aParsa, Saeed. _930930 |
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| 245 |
_aSoftware Testing Automation _cby Saeed Parsa. _h[electronic resource] : |
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| 250 | _a1st ed. 2023. | ||
| 260 |
_aCham _bSpringer International Publishing _c2023 |
||
| 300 |
_aXXIV, 580 p. 741 illus., 668 illus. in color. _bonline resource. |
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| 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 |
_aData Engineering. _930931 |
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| 650 |
_aEngineering _930932 |
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| 650 |
_aSoftware engineering. _930933 |
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| 650 |
_aSoftware Engineering. _930934 |
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| 856 | _uhttps://doi.org/10.1007/978-3-031-22057-9 | ||
| 942 |
_cEBK _2ddc |
||
| 999 |
_c15171 _d15171 |
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