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Identifying Relevant Information for Testing Technique Selection

An Instantiated Characterization Schema

  • Sira Vegas
  • Natalia Juristo
  • Victor R. Basili

Part of the The Springer International Series in Software Engineering book series (SOFT, volume 8)

Table of contents

  1. Front Matter
    Pages i-xxiii
  2. Sira Vegas, Natalia Juristo, Victor R. Basili
    Pages 1-10
  3. Sira Vegas, Natalia Juristo, Victor R. Basili
    Pages 11-36
  4. Sira Vegas, Natalia Juristo, Victor R. Basili
    Pages 37-48
  5. Sira Vegas, Natalia Juristo, Victor R. Basili
    Pages 49-64
  6. Sira Vegas, Natalia Juristo, Victor R. Basili
    Pages 65-96
  7. Sira Vegas, Natalia Juristo, Victor R. Basili
    Pages 97-134
  8. Sira Vegas, Natalia Juristo, Victor R. Basili
    Pages 135-145
  9. Sira Vegas, Natalia Juristo, Victor R. Basili
    Pages 147-166
  10. Sira Vegas, Natalia Juristo, Victor R. Basili
    Pages 167-176
  11. Sira Vegas, Natalia Juristo, Victor R. Basili
    Pages 177-240
  12. Sira Vegas, Natalia Juristo, Victor R. Basili
    Pages 241-243
  13. Back Matter
    Pages 245-281

About this book

Introduction

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.

Keywords

Attribut computer computer science design organization research methods selection software software engineering testing

Authors and affiliations

  • Sira Vegas
    • 1
  • Natalia Juristo
    • 1
  • Victor R. Basili
    • 2
  1. 1.Universidad Politecnica de MadridMadridSpain
  2. 2.University of MarylandUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4615-0419-1
  • Copyright Information Kluwer Academic Publishers 2003
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4613-5067-5
  • Online ISBN 978-1-4615-0419-1
  • Series Print ISSN 1384-6469
  • Buy this book on publisher's site