A Framework for Requirements Traceability

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Details

Requirements traceability provides support for many software engineering activities like impact analysis, requirements validation and regression testing. In addition requirements traceability is the recognized component of many software process improvement initiatives. Requirements traceability also helps to control and manage evolution of a software system. This book presents a systematic review and a framework for requirements traceability. The systematic review is aimed at presenting fair evaluation of research concerning requirements traceability over the period 1997 2007. Moreover, two companies have been interviewed to understand the practice of requirements traceability in industry. Based on the analysis of systematic review results and industrial interviews, this book presents a framework for requirements traceability called Three Level Framework for Requirements Traceability (TLFRT)'. This framework has been statically validated in two companies. The validation of TLFRT in industry resulted in compilation of lessons learned, which ensures that this theoretical framework could also be used in real industrial environment.

Autorentext

Uzair Akbar is working as Technical Data Manager in aCROnordic A/S Hoersholm Denmark. Uzair has done MS Software Engineering from Blekinge Institute of Technology (BTH) Sweden. Kashif Kamran is working as Requirements Coordinator in Sony Ericsson, Lund Sweden. He holds MS Software Engineering from Blekinge Institute of Technology (BTH) Sweden.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783838367583
    • Sprache Englisch
    • Größe H220mm x B150mm x T8mm
    • Jahr 2010
    • EAN 9783838367583
    • Format Kartonierter Einband
    • ISBN 3838367588
    • Veröffentlichung 02.09.2010
    • Titel A Framework for Requirements Traceability
    • Autor Uzair Akbar Raja , Kashif Kamran
    • Untertitel Supporting pre-RS and post-RS traceability
    • Gewicht 185g
    • Herausgeber LAP LAMBERT Academic Publishing
    • Anzahl Seiten 112
    • Genre Informatik

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