NDLI: A systematic mapping study on dynamic metrics and software quality

Content Provider	IEEE Xplore Digital Library
Author	Tahir, A. MacDonell, S.G.
Copyright Year	2012
Description	Author affiliation: SERL, School of Computing & Mathematical Sciences, Auckland University of Technology, Auckland, New Zealand (Tahir, A.; MacDonell, S.G.)
Abstract	Several important aspects of software product quality can be evaluated using dynamic metrics that effectively capture and reflect the software's true runtime behavior. While the extent of research in this field is still relatively limited, particularly when compared to research on static metrics, the field is growing, given the inherent advantages of dynamic metrics. The aim of this work is to systematically investigate the body of research on dynamic software metrics to identify issues associated with their selection, design and implementation. Mapping studies are being increasingly used in software engineering to characterize an emerging body of research and to identify gaps in the field under investigation. In this study we identified and evaluated 60 works based on a set of defined selection criteria. These studies were further classified and analyzed to identify their relativity to future dynamic metrics research. The classification was based on three different facets: research focus, research type and contribution type. We found a strong body of research related to dynamic coupling and cohesion metrics, with most works also addressing the abstract notion of software complexity. Specific opportunities for future work relate to a much broader range of quality dimensions.
Starting Page	326
Ending Page	335
File Size	650383
Page Count	10
File Format	PDF
ISBN	9781467323130
ISSN	10636773
e-ISBN	9781467323123
DOI	10.1109/ICSM.2012.6405289
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-09-23
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Software Software metrics Conferences Performance analysis Manuals software quality dynamic metrics software metrics dynamic analysis mapping study
Content Type	Text
Resource Type	Article

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