NDLI: Coupling Metrics for Predicting Maintainability in Service-Oriented Designs

Content Provider	IEEE Xplore Digital Library
Author	Perepletchikov, M. Ryan, C. Frampton, K. Tari, Z.
Copyright Year	2007
Description	Author affiliation: Sch. of Comput. Sci. & Inf. Technol., RMIT Univ., Melbourne, Vic. (Perepletchikov, M.; Ryan, C.; Frampton, K.; Tari, Z.)
Abstract	Service-oriented computing (SOC) is emerging as a promising paradigm for developing distributed enterprise applications. Although some initial concepts of SOC have been investigated in the research literature, and related technologies are in the process of adoption by an increasing number of enterprises, the ability to measure the structural attributes of service-oriented designs thus predicting the quality of the final software product does not currently exist. Therefore, this paper proposes a set of metrics for quantifying the structural coupling of design artefacts in service-oriented systems. The metrics, which are validated against previously established properties of coupling, are intended to predict the quality characteristic of maintainability of service-oriented software. This is expected to benefit both research and industrial communities as existing object-oriented and procedural metrics are not readily applicable to the implementation of service-oriented systems.
Sponsorship	Data Processors Infosys Australia Davies Collison Cave Object Consulting Sun Microsystems Labs Swinburne Univ. Technol. IT Today Elsevier Australia
Starting Page	329
Ending Page	340
File Size	334808
Page Count	12
File Format	PDF
ISBN	0769527787
ISSN	15300803
DOI	10.1109/ASWEC.2007.17
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-04-10
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Software quality Software measurement Software maintenance Service oriented architecture Object oriented modeling Programming Application software Software engineering Software performance Computer science
Content Type	Text
Resource Type	Article

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