OntEQAM – A Methodology for Assessing Evolvability as a Quality Factor in Software Ecosystems

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Authors
  1. Hmood, A.
  2. Schugerl, P.
  3. Rilling, J.
  4. Charland, P.
Corporate Authors
Defence R&D Canada - Valcartier, Valcartier QUE (CAN);Concordia Univ, Montreal Que (CAN) Dept of Computer Science and Software Engineering
Abstract
Software development and evolution are highly distributed processes that involve a multitude of supporting tools and resources. Knowledge relevant to these resources is typically dispersed over a wide range of artifacts, representation formats, and abstraction levels. In order to stay competitive, organizations are often required to assess and provide evidence that their software meets expected quality requirements. Similarly, the quality assessment of open source or third-party components is a crucial factor in software development. In our research, we focus specifically on modeling and assessing evolvability as a quality factor. We introduce our OntEQAM methodology that supports the integration and semantic analysis of knowledge resources typically found in software ecosystems. We further illustrate how our OntEQAM methodology can be applied to support the automated analysis and assessment of different types of quality attributes related to the evolvability of software ecosystems.
Report Number
DRDC-VALCARTIER-SL-2010-214 — Scientific Literature
Date of publication
01 Aug 2010
Number of Pages
8
DSTKIM No
CA035013
CANDIS No
534629
Format(s):
Electronic Document(PDF)

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