CompAS: A new approach to commonality and variability analysis with applications in computer assisted orthopaedic surgery

In rapidly evolving domains such as Computer Assisted Orthopaedic Surgery (CAOS) emphasis is often put first on innovation and new functionality, rather than in developing the common infrastructure needed to support integration and reuse of these innovations. In fact, developing such an infrastructu...

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Bibliographic Details
Published inInformation and software technology Vol. 51; no. 2; pp. 448 - 459
Main Authors Douta, Gisèle, Talib, Haydar, Nierstrasz, Oscar, Langlotz, Frank
Format Journal Article
LanguageEnglish
Published Amsterdam Elsevier B.V 01.02.2009
Elsevier Science Ltd
Subjects
Bone surgery
Classification
Commonality
Commonality and variability
Component-based programming
Computer programs
Computer-assisted surgery
Conferences
Domain analysis
Evolution
Infrastructure
Integration
Orthopedics
Software
Software evolution
Software reuse
Studies
Surgery
Technological change
Volatility
Component-based programming
Software evolution
Software reuse
Commonality and variability
Computer-assisted surgery
Domain analysis
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Summary:In rapidly evolving domains such as Computer Assisted Orthopaedic Surgery (CAOS) emphasis is often put first on innovation and new functionality, rather than in developing the common infrastructure needed to support integration and reuse of these innovations. In fact, developing such an infrastructure is often considered to be a high-risk venture given the volatility of such a domain. We present CompAS, a method that exploits the very evolution of innovations in the domain to carry out the necessary quantitative and qualitative commonality and variability analysis, especially in the case of scarce system documentation. We show how our technique applies to the CAOS domain by using conference proceedings as a key source of information about the evolution of features in CAOS systems over a period of several years. We detect and classify evolution patterns to determine functional commonality and variability. We also identify non-functional requirements to help capture domain variability. We have validated our approach by evaluating the degree to which representative test systems can be covered by the common and variable features produced by our analysis.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
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ISSN:0950-5849
1873-6025
DOI:10.1016/j.infsof.2008.05.017