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Annual Reliability and Maintainability Symposium

作者： Aggarwal, KK Singh, Y Chhabra, JK GGS Indraprastha Univ Delhi India

ISBN: (纸本)0780373480

For large software systems, the maintenance phase tends to have comparatively much longer duration than all the previous life-cycle phases taken together, obviously resulting in much more efforts. A good measure of software maintainability can help better manage the maintenance phase effort. Software maintainability cannot be adequately measured by only source code or by documents. The readability and understandability of both, source code and documentation should be considered to measure the maintainability. This paper proposes an integrated measure of software maintainability. The paper also proposes a new representation for rule base of fuzzy models, which will require less space for storage and will be efficient in finding the results in the simulation. The proposed model measures the software maintainability based on three important aspects of software- readability of source code (RSC), Documentation Quality (DOQ), and Understandability of Software (UOS). Keeping in view the nature of these parameters, a fuzzy approach has been used to integrate these three aspects. A new efficient representation of rule base has been proposed for fuzzy models. This integrated measurement of software maintainability, which to our knowledge is first attempt to quantify integrated maintainability, is bound to be better than any other single parameter maintainability measurement approach. Thus the output of this model can advise the software project managers in judging the maintenance efforts of the software.

关键词： software maintainability software measurement fuzzy model rule base representation source-code readability documentation quality understandability Fog Index

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On the relationship between source-code metrics and cognitive load: A systematic tertiary review

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JOURNAL OF SYSTEMS AND SOFTWARE 2023年 198卷

作者： Abbad-Andaloussi, Amine Univ St Gallen Inst Comp Sci CH-9000 St Gallen Switzerland

The difficulty of software development tasks depends on several factors including the characteristics of the underlying source-code. These characteristics can be captured and measured using source -code metrics, which, in turn, can provide indications about the difficulty of the source-code. From a cognitive perspective, this difficulty is due to an increase in developers' cognitive load, which can be estimated using psycho-physiological measures. Based on these measures, a handful of studies investigated the relationship between source-code metrics and cognitive load. For most of the metrics, such a relationship could not be established. While these studies used a small subset of metrics, the literature comprises hundreds of other metrics. Despite the existing reviews surveying these metrics, a consolidated overview is still needed to understand their properties and leverage their potential to align with cognitive load. This need is addressed in this paper through a Systematic Tertiary Review (STR) covering the full spectrum of source-code metrics, studying their properties and investigating their potential relationship to cognitive load. The outcome of this STR is intended to guide practitioners in choosing appropriate metrics, set the grounds for conceptualizing the relationship between source-code metrics and cognitive load and raise new research challenges for the future. (c) 2023 The Author. Published by Elsevier Inc. This is an open access article under the CC BY license (http://***/licenses/by/4.0/).

关键词： source-code metrics Software quality source-code readability Cognitive load

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