A Quality Perspective of Software Evolvability using Semantic Analysis

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Authors
  1. Schugerl, P.
  2. Rilling, J.
  3. Witte, R.
  4. Charland, P.
Corporate Authors
Defence R&D Canada - Valcartier, Valcartier QUE (CAN)
Abstract
Software development and maintenance 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 the expected requirements. In our research, we focus on assessing non-functional quality requirements, specifically evolvability, through semantic modeling of relevant software artifacts. We introduce our SE-Advisor that supports the integration of knowledge resources typically found in software ecosystems by providing a unified ontological representation. We further illustrate how our SE-Advisor takes advantage of this unified representation to support the analysis and assessment of different types of quality attributes related to the evolvability of software ecosystems.
Report Number
DRDC-VALCARTIER-SL-2009-281 — Scientific Literature
Date of publication
01 Oct 2009
Number of Pages
8
DSTKIM No
CA033305
CANDIS No
532659
Format(s):
Document Image stored on Optical Disk

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