Framework for evaluation and validation of software complexity measures

Abstract

This paper proposes a framework for the evaluation and validation of software complexity measure. This framework is designed to analyze whether or not software metric qualifies as a measure from different perspectives. Unlike existing frameworks, it takes into account the practical usefulness of the measure and includes all the factors which are important for theoretical and empirical validation including measurement theory. The applicability of the framework is tested by using cognitive functional size measure (CFS). The testing process shows that in the same manner the proposed framework can be applied to any software measure. A comparative study with other frameworks has also been performed. The results reflect that the present framework is the better representations of most of the parameters which are required to evaluate and validate a new complexity measure.

Business process modeling — Simulation of administrative activities

“…Remény et al [12], Erdődi [13] and Bencsik et al [16]. Certainly in fields that are not closely related to workflow where the description of an algorithm is rather necessary as in Sergyán et al [14], Györök et al [15] and Cseri et al [18] or Misra [19] a more thorough modification would be necessary for an application of the model.…”

Comparing Static and Dynamic Weighted Software Coupling Metrics

“…They argue that no single metric provides enough information (see also Voas and Kuhn [32]), but that for each project a specific set of metrics can be found that can then be used in this project to predict failures for new or changed classes. Misra et al [25] propose a framework for the evaluation and validation of software complexity measures. Briand and Wüst [9] study the relationship between software quality models to external qualities like reliability and maintainability.…”

Characterizing Software Stability via Change Propagation Simulation

“…These properties are designed to analyze whether a specific metric qualifies as an effective measure. Following the suggestion given by [30], we also evaluate our metric against Weyuker's nine properties with the goal to answer RQ2. The theoretical evaluation is paraphrased as follows, where denotes any software complexity metric (in this work, denotes ).…”