Techniques for Calculating Software Product Metrics Threshold Values: A Systematic Mapping Study

Abstract

Several aspects of software product quality can be assessed and measured using product metrics. Without software metric threshold values, it is difficult to evaluate different aspects of quality. To this end, the interest in research studies that focus on identifying and deriving threshold values is growing, given the advantage of applying software metric threshold values to evaluate various software projects during their software development life cycle phases. The aim of this paper is to systematically investigate research on software metric threshold calculation techniques. In this study, electronic databases were systematically searched for relevant papers; 45 publications were selected based on inclusion/exclusion criteria, and research questions were answered. The results demonstrate the following important characteristics of studies: (a) both empirical and theoretical studies were conducted, a majority of which depends on empirical analysis; (b) the majority of papers apply statistical techniques to derive object-oriented metrics threshold values; (c) Chidamber and Kemerer (CK) metrics were studied in most of the papers, and are widely used to assess the quality of software systems; and (d) there is a considerable number of studies that have not validated metric threshold values in terms of quality attributes. From both the academic and practitioner points of view, the results of this review present a catalog and body of knowledge on metric threshold calculation techniques. The results set new research directions, such as conducting mixed studies on statistical and quality-related studies, studying an extensive number of metrics and studying interactions among metrics, studying more quality attributes, and considering multivariate threshold derivation.

Retracted: Scientific programming using optimized machine learning techniques for software fault prediction to improve software quality

“…In order to earn such confidence in the software, thorough testing of it is necessary, which takes a lot of time, may be very expensive and in some cases may even be impossible. When time and money are limited, testing is often made more difficult [1].…”

A Quality Driven Framework for Decomposing Legacy Monolith Applications to Microservice Architecture

“…This step is crucial in determining the best clustering output that matches our decomposition objective from the perspective of architecture quality. Measuring software product quality based on the metric threshold is a very active research area among software engineering researchers (Mishra et al, 2021). In addition, correlations between more than one quality attribute and how each metric affects product quality are not considered in previous research, as mentioned by (Mishra et al, 2021).…”

“…Measuring software product quality based on the metric threshold is a very active research area among software engineering researchers (Mishra et al, 2021). In addition, correlations between more than one quality attribute and how each metric affects product quality are not considered in previous research, as mentioned by (Mishra et al, 2021). Thus, we proposed a scoring evaluation approach for microservice quality metrics (Hasan et al, 2023a) for designers to consider an acceptable maintainability quality for microservice.…”

Severity Factor (SF): An aid to developers for application of refactoring operations to improve software quality

“…In literature, several performance metrics, such as project metrics, 24,25 product metrics, 26,27 and process metrics, 28,29 are used to analyze a project from different perspectives (cost, effort, time, size, functionality, capability, reliability, etc.). However, none of them examined the system using bad smells and software quality metrics which are two important aspects of code that describes the system's quality.…”