A Novel Method for Quantitative Assessment of Software Quality

International Journal of Computer Science and Security 01/2010;
Source: DOAJ


This paper deals with quantitative quality model that needs to be practiced formally through out the software development life cycle at each phase. Proposed quality model emphasizes that various stakeholders need to be consulted for quality requirements. The quality goals are set through various measurements and metrics. Software under development is evaluated against expected value of set of metrics. The use of proposed quantitative model is illustrated through a simple case study. The unaddressed quality attribute reusability in ISO 9126 is also discussed.

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    • "Likewise, changeability and testability engages understandability. Other SQMs directly or indirectly enlist understandability as one of their quality characteristics or attributes; quality models such as McCall's, Boehm's, and Dromey's, etc [4], [5], [6]. "
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    ABSTRACT: Software metrics gives developers and their client and users of Software information about the quality of their Software products. They are employed in taking decisions at various levels of Software Life Cycle (SLC). This paper presents a novel metric for measuring the readability of Software Source Code (SC). Maintenance changes (addition, removal or modification), though, are initially carried out on the Software design artifacts, they are eventually performed on the Software SC as the finished product. Thus this metric is relevant in estimating the readability quality of SCs. The metric is ratio scaled and size independent. Results showed that the metric objectively measures the readability of SC.
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    ABSTRACT: This paper aims to provide a basis for software quality model research, through a systematic study of papers. It identifies nearly seventy software quality research papers from journals and classifies paper as per research topic, estimation approach, study context and data set. The paper results combined with other knowledge provides support for recommendations in future software quality model research, to increase the area of search for relevant studies, carefully select the papers within a set of journals, and conduct more studies on methods used by software industry and researchers.
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