Identifying Relevant Information for Testing Technique Selection: An Instantiated Characterization SchemaSpringer Science & Business Media, 6 dic 2012 - 281 páginas Engineering tasks are supposed to achieve defined goals under certain project constraints. Example goals of software engineering tasks include achieving a certain functionality together with some level of reliability or performance. Example constraints of software engineering tasks include budget and time limitations or experience limitations of the developers at hand. Planning of an engineering project requires the selection of techniques, methods and tools suited to achieve stated goals under given project constraints. This assumes sufficient knowledge regarding the process-product relationships (or effects) of candidate techniques, methods and tools. Planning of software projects suffers greatly from lack of knowledge regarding the process-product relationships of candidate techniques, methods and tools. Especially in the area of testing a project planner is confronted with an abundance of testing techniques, but very little knowledge regarding their effects under varying project conditions. This book offers a novel approach to addressing this problem: First, based on a comprehensive initial characterization scheme (see chapter 7) an overview of existing testing techniques and their effects under varying conditions is provided to guide the selection of testing approaches. Second, the optimisation of this knowledge base is suggested based on experience from experts, real projects and scientific experiments (chapters 8, 9, and 10). This book is of equal interest to practitioners, researchers and students. Practitioners interested in identifying ways to organize their company-specific knowledge about testing could start with the schema provided in this book, and optimise it further by applying similar strategies as offered in chapters 8 and 9. |
Índice
STATE OF THE PRACTICE | 11 |
4 | 36 |
RESEARCH GOALS | 37 |
3 | 43 |
PROBLEM SOLVING PROCESS | 49 |
1 | 60 |
34 | 67 |
6 | 87 |
Result of Building the Empirical Schema | 113 |
PROPOSAL OF | 135 |
Result of Schema Synthesis | 141 |
EMPIRICAL EVALUATION | 167 |
EXPERIMENTAL EVALUATION | 177 |
CONCLUSIONS | 241 |
277 | |
INDUCTIVE EMPIRICAL | 97 |
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Identifying Relevant Information for Testing Technique Selection: An ... Sira Vegas,Natalia Juristo,Victor R. Basili Vista previa restringida - 2003 |
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Términos y frases comunes
Adequacy criterion Adequacy degree analysis ANOVA appear apply the technique aspects Automation Basili Beizer Boundary value analysis bounded variables characterisation schema Completeness Control flow Cost of application coverage Data flow Defect type effectiveness ELEMENT ATTRIBUTE VALUE empirical schema Estimated values experience fault Figure Frankl hypothesis Identifier IEEE instantiated interest language Development method LEVEL ELEMENT ATTRIBUTE method of selection missing information mutation Ntafos null hypothesis number of techniques opinion Path coverage possible preliminary schema Project Tools Quality attribute question Reference projects reference set reflects regression testing repository respondents response variable Rigour Rombach Rothermel schema attributes Scope Element selected techniques selecting testing techniques selection purposes set of test software development Software Engineering software project software system software testing Sources of information standard deviation subjects Table Test data cost testing technique selection theoretical schema Type of defects type of software unit testing usability users Weyuker