Evaluation of Project Quality: A DEA-Based Approach

Zhang, Shen; Wang, Yongji; Tong, Jie; Zhou, Jianliang; Ruan, Li

doi:10.1007/11754305_10

Cited by 4 publications

(4 citation statements)

References 6 publications

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“…Second, most of the previous researches have used 'effort' as the only input or one of the inputs [3,5,6,15,27,[29][30][31][32][33]. However, we use other effort such as conformance effort (EoC) and non-conformance effort (EoNC), in addition to the development effort.…”

Section: Literature Review and Contributionsmentioning

confidence: 96%

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Benchmarking software development productivity of CMMI level 5 projects

2015

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In this paper, data envelopment analysis variable returns to scale (DEA VRS) model is applied to data collected on 79 software development projects from a leading CMMI level 5 organization. We divide overall software effort into software development effort, software quality conformance effort (EoC), and software maintenance non-conformance (EoNC) effort due to poor software quality at delivery time. Partitioning effort into software development and software quality metrics provides us a comprehensive model to measure productivity of software projects and to identify best practice projects. Some of positive productivity drivers from the DEA best practice efficient projects point to good customer rapport and application familiarity. Inefficient projects had problems such as customer requirements volatility, and the use of unfamiliar technology. The DEA results identify 12 ''best practice'' projects that can be emulated for software process improvement. Additionally, our results point to approximately 50 % potential for productivity improvement in software projects to get to the level of ''best practice'' projects. This study shows that including EoC and EoNC as inputs has a positive impact on the best practice frontier.

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Section: Literature Review and Contributionsmentioning

confidence: 96%

“…A majority of previous studies have used 'Effort' as the only input [3,5,6,15,27,[29][30][31][32][33] and SLOC and/or FP as output(s) [3,5,7,15,27,29]. In Sect.…”

Section: Sensitivity Analysis Of Model Specificationmentioning

confidence: 98%

Benchmarking software development productivity of CMMI level 5 projects

2015

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“…Despite its unconventional application, previous studies used DEA to evaluate software quality, performance, productivity, and efficiency [32][33][34][35][39][40][41][42][43][44][45][46]. In this study, DEA was used to analyze the association between SNA and software profiling results.…”

Section: Data Envelopment Analysis (Dea)mentioning

confidence: 99%

Locating Core Modules through the Association between Software Source Structure and Execution

Huh

Kim

2021

Applied Sciences

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To improve software quality, the source code that composes software has to be improved, and improving the important code that largely affects the software quality should be a cost-effective method. Static analysis defines important codes as those that occupy important positions in the source network, while dynamic analysis defines important codes as those with high execution frequency. However, neither method analyzes the association between network structure and execution frequency, and both have their disadvantages. Thus, this study analyzed the association between source network structure and execution frequency to solve their disadvantages. The source function of Notepad++ was analyzed, and the function ranking was derived using the association between network structure and execution frequency. For verification, the Spearman correlation between the newly derived function ranking and the function ranking of the network and execution frequency obtained with the conventional method was measured. By measuring the Spearman correlation, the newly derived function ranking had strong correlations with execution frequency and included the network structure’s characteristics. Moreover, similar to the Pareto principle, the analysis showed that 20% of Notepad++’s functions could be categorized as important functions, largely affecting the software’s quality.

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“…Evaluation of project quality can lead to a better control of the schedule, cost and resources allocation and smooth the way for process improvement efforts. A DEA-based approach is proposed to evaluate the project quality [74].…”

Section: N Empirical Software Engineeringmentioning

confidence: 99%

Basic research in computer science and software engineering at SKLCS

Zhang

Zhan

et al. 2008

Front. Comput. Sci. China

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The State Key Laboratory of Computer Science (SKLCS) is committed to basic research in computer science and software engineering. The research topics of the laboratory include: concurrency theory, theory and algorithms for real-time systems, formal specifications based on context-free grammars, semantics of programming languages, model checking, automated reasoning, logic programming, software testing, software process improvement, middleware technology, parallel algorithms and parallel software, computer graphics and human-computer interaction. This paper describes these topics in some detail and summarizes some results obtained in recent years.

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Evaluation of Project Quality: A DEA-Based Approach

Cited by 4 publications

References 6 publications

Benchmarking software development productivity of CMMI level 5 projects

Benchmarking software development productivity of CMMI level 5 projects

Locating Core Modules through the Association between Software Source Structure and Execution

Basic research in computer science and software engineering at SKLCS

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