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A Regression Testing Approach for Software Product Lines Architectures
Details
To achieve the ability to produce individualized products, often, companies need high investments which lead sometimes high prices for an individualized product. Thus, many companies started to introduce the common platform in order to assemble a greater variety of products, by reusing the common parts. In the Software Product Lines (SPL) context, this common platform is called the reference architecture, which provides a common, high-level structure for all SPL applications. Software architectures are becoming the central part during the development of quality systems, being the first model and base to guide the implementation and provide a promising way to deal with large systems. At times, it evolves over time in order to meet customer needs, environment changes, evolutions or corrective modifications. Thus, in order to be confident that these modifications are conform with the architecture specification, did not introduce unexpected errors and that the new features work as expected, regression test is performed. This book describes a regression testing approach used to reduce the number of tests to be rerun, for both reference architecture and product specific architecture.
Autorentext
M.Sc. Paulo Anselmo da Mota Silveira Neto is currently a Ph.D. student at Federal University of Pernambuco (UFPE), he is Bachelor of Computer Science from Catholic University of Pernambuco (UNICAP), Specialist in Software Engineering from University of Pernambuco (UPE) and Master of Science in Computer Science from UFPE.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783838386829
- Sprache Englisch
- Größe H220mm x B150mm x T11mm
- Jahr 2010
- EAN 9783838386829
- Format Kartonierter Einband
- ISBN 3838386825
- Veröffentlichung 22.07.2010
- Titel A Regression Testing Approach for Software Product Lines Architectures
- Autor Paulo Anselmo Da Mota Silveira Neto
- Untertitel Selecting an efficient and effective set of test cases
- Gewicht 268g
- Herausgeber LAP LAMBERT Academic Publishing
- Anzahl Seiten 168
- Genre Informatik