DocumentCode
190489
Title
Static and dynamic classifications for SOA structural attributes metrics
Author
Nik Daud, Nik Marsyahariani ; Wan Kadir, Wan M. N.
Author_Institution
Software Eng. Dept., Univ. Teknol. Malaysia, Skudai, Malaysia
fYear
2014
fDate
23-24 Sept. 2014
Firstpage
130
Lastpage
135
Abstract
Evaluating qualities of software based on software structural attributes such as coupling and cohesion are frequently done in practice as these attributes directly have impacts on value of higher level quality. Concerning oneself with structural attributes values early on helps developers to predict quality attributes level in the software. Service-Oriented Architecture (SOA) is an architectural concept where services are used as building blocks in developing new software. Lots of structural attributes metrics related to SOA had been proposed these recent years, which triggered an investigation to classify these metrics based on specific criteria. In this paper, we introduce classifications for SOA based structural attributes metrics, where the metrics are restricted to coupling, cohesion and complexity metrics. These metrics are classified based on software static and dynamic aspects with some brief introduction for each metric. By classifying these SOA based structural attributes metrics, it will allow user to avoid redundancy in proposing similar metrics thus increases the reusability of existing metrics.
Keywords
program diagnostics; service-oriented architecture; software metrics; software quality; software reusability; SOA structural attributes metrics; architectural concept; complexity metrics; dynamic classification; metrics classification; metrics reusability; service-oriented architecture; software dynamic aspects; software quality evaluation; software static aspects; software structural attributes; static classification; structural attributes values; Complexity theory; Couplings; Semiconductor optical amplifiers; Service-oriented architecture; Software measurement; Service Oriented Architecture; Structural attributes metric; metrics classification;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Engineering Conference (MySEC), 2014 8th Malaysian
Conference_Location
Langkawi
Type
conf
DOI
10.1109/MySec.2014.6986002
Filename
6986002
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