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Identifying Relevant Information for Testing Technique Selection

An Instantiated Characterization Schema

  • Book
  • © 2003

Overview

Authors:
  1. Sira Vegas

    1. Universidad Politecnica de Madrid, Madrid, Spain

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    You can also search for this author in PubMed   Google Scholar

  2. Natalia Juristo

    1. Universidad Politecnica de Madrid, Madrid, Spain

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    You can also search for this author in PubMed   Google Scholar

  3. Victor R. Basili

    1. University of Maryland, USA

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    You can also search for this author in PubMed   Google Scholar

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

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Table of contents (11 chapters)

  1. Front Matter

    Pages i-xxiii
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  2. Introduction

    • Sira Vegas, Natalia Juristo, Victor R. Basili
    Pages 1-10

  3. State of the Practice

    • Sira Vegas, Natalia Juristo, Victor R. Basili
    Pages 11-36

  4. Research Goals

    • Sira Vegas, Natalia Juristo, Victor R. Basili
    Pages 37-48

  5. Problem Solving Process

    • Sira Vegas, Natalia Juristo, Victor R. Basili
    Pages 49-64

  6. First Generative Iteration: Deductive Theoretical Schema

    • Sira Vegas, Natalia Juristo, Victor R. Basili
    Pages 65-96

  7. Second Generative Iteration: Inductive Empirical Schema

    • Sira Vegas, Natalia Juristo, Victor R. Basili
    Pages 97-134

  8. Synthesis of Perspectives: Proposal of the Preliminary Schema

    • Sira Vegas, Natalia Juristo, Victor R. Basili
    Pages 135-145

  9. Improvement of the Schema: Expert Peer Review

    • Sira Vegas, Natalia Juristo, Victor R. Basili
    Pages 147-166

  10. Empirical Evaluation

    • Sira Vegas, Natalia Juristo, Victor R. Basili
    Pages 167-176

  11. Experimental Evaluation

    • Sira Vegas, Natalia Juristo, Victor R. Basili
    Pages 177-240

  12. Conclusions

    • Sira Vegas, Natalia Juristo, Victor R. Basili
    Pages 241-243

  13. Back Matter

    Pages 245-281
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Keywords

About this book

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.

Authors and Affiliations

  • Universidad Politecnica de Madrid, Madrid, Spain

    Sira Vegas, Natalia Juristo

  • University of Maryland, USA

    Victor R. Basili

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