Object-Oriented Software Maintainability Measurement in the Past Decade

Orenyi, Bajeh Amos; Basri, Shuib; Jung, Low Tan

doi:10.1109/acsat.2012.54

Cited by 6 publications

(3 citation statements)

References 47 publications

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“…As per the results collected by them over a large set of studies, they concluded that there was little evidence on the effectiveness of software maintainability prediction models. In the year 2012, Orenyi et al (2012) also presented a comprehensive review of a decade of research on software maintainability measurements. They observed that regression analysis methods have been predominantly employed to predict software maintainability and that the element of subjectivity in these measurement techniques gives rises to lack of consistency and acceptability of these models for widespread applicability.…”

Section: Related Workmentioning

confidence: 99%

How effective are maintainability metrics in estimating maintenance efforts? An empirical study

Reddy

Ojha²

2019

Int J Syst Assur Eng Manag

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Software maintainability is often estimated by software developers and experts at the design phase to reduce maintenance efforts of software products. It is believed that the maintainability metrics help in throwing some light on the maintenance efforts of a software system. This paper studies the effectiveness of metrics of two maintainability components, namely modifiability and understandability in assessing maintenance efforts at the early design phase. To perform the empirical study, first of all, modifiability and understandability are estimated using certain design level metrics. A dataset of 776 class hierarchies from 20 different Java open source projects is considered with 12 different design level metrics as the independent variables and modifiability and understandability metrics as the dependent variables. Homogeneous as well as heterogeneous ensembles of MLR, MLP, ANN, and M5P methods are employed to predict maintainability of class hierarchies using design level metric dataset and the metric dataset of the two maintainability metrics. The concept of ROC curve for regression, ROC space and AOC introduced recently by Herna ´ndez-Orallo (Pattern Recogn 46:3395-3411, 2013) is used to determine the under/ overestimation of individual models and their ensembles. It is concluded that most of the methods underestimate software maintainability that may lead to higher maintenance cost at a later stage and may also adversely affect the reputation of software companies. While modifiability is mostly underestimated, nothing could be concluded for understandability. The study is validated with the help of two available real datasets QUES and UIMS containing records of actual maintenance efforts and design level metrics dataset. These studies suggest that the definition of software modifiability metric needs a review.

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Section: Related Workmentioning

confidence: 99%

How effective are maintainability metrics in estimating maintenance efforts? An empirical study

Reddy

Ojha²

2019

Int J Syst Assur Eng Manag

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“…They found that the OO group took less time to maintain software artifacts than the NOO group, the reason for which they thought were due to the usefulness of UML for impact analysis of the OO version. Orenyi et al presented an extensive review on OO software maintainability measurement in the past decade [19]. They found that Regression Analysis methods have been predominantly used in the development of OO software maintainability models, and suggested that maintainability measurement model should use objective measurement method and Software Quality Models should be encouraged.…”

Section: A Code-level Metrics For Oo Software Maintainabilitymentioning

confidence: 99%

Assessing Software Maintainability Based on Class Diagram Design: A Preliminary Case Study

Lu¹,

Mao²,

Li³

2016

LNSE

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“…Among the sub-topics covered are fault-prone factors [Al Dallal, 2012;Briand, Wüst, Daly, & Porter, 2000], productivity or maintenance effort [Chidamber, Darcy, & Kemerer, 1998;Ferreira, Bigonha, Bigonha, Mendes, & Almeida, 2012], software reuse, and software refactoring [Souza & Maia, 2013]. In these assessments, various measurement models of OO software quality have been proposed [Orenyi, Basri, & Low Tan Jung, 2012], which results are obtained using techniques for inferential analysis and multivariate data analysis. Although the studies goals are many, we still know very little about what measures are more relevant and used to evaluate software quality and which techniques are most appropriate to get better results to characterize software quality or a particular aspect, for example, maintainability.…”

Section: Introductionmentioning

confidence: 99%

A Quantitative Study for the Characterization of Internal Quality of Open-Source Object-Oriented Software

Santos¹,

Bermejo²,

Costa³

2016

Anais Do XV Simpósio Brasileiro De Qualidade De Software (SBQS 2016)

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Although it is necessary, activities regarding quality assurance and maintenance of software are considered the longest and most complex in software development lifecycle. Taking advantage of this growing trend and of the benefits obtained from open-source initiative, researches on open-source software quality and maintainability have gained renewed interest. The use of robust statistical techniques, such as PLS-SEM to investigate and empirically validate software quality models has also been an efficient alternative to obtain information on open-source software quality. The aim of this study was evaluate and build a conceptual model to characterize the internal quality in Java open-source software in different domains, validated with the PLS-SEM technique. The study results indicate that there are domains with similarities among them and four factors can influence the internal quality of object-oriented software to present better maintainability (Complexity Reduce, Normalized Cohesion, Non-normalized Cohesion, and Increase of the Modularity Level). Besides, we identified some measures are more effective to evaluate internal quality in object-oriented open-source, such as, Fan-out (FOUT), Lack of Cohesion of Methods 2 (LCOM2), Response for Class (RFC), Tight Class Cohesion (TCC), and Loose Class Cohesion (LCC). Thus, this study aims at supporting software engineers and project managers to develop measurement strategies to ensure internal quality of source code and reduce maintenance costs.

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Object-Oriented Software Maintainability Measurement in the Past Decade

Cited by 6 publications

References 47 publications

How effective are maintainability metrics in estimating maintenance efforts? An empirical study

How effective are maintainability metrics in estimating maintenance efforts? An empirical study

Assessing Software Maintainability Based on Class Diagram Design: A Preliminary Case Study

A Quantitative Study for the Characterization of Internal Quality of Open-Source Object-Oriented Software

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