Software Effort, Quality, and Cycle Time: A Study of CMM Level 5 Projects

Agrawal, Manish; Chari, Kaushal

doi:10.1109/tse.2007.29

Cited by 162 publications

(94 citation statements)

References 42 publications

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“…Slaughter et al has made an attempt to evaluate the cost of software quality [9]. M. Agarwal and K. Chari had considered the software quality in terms of quality, effort, and cycle time [10]. O. Maryoly, M.A.…”

Section: Related Work: Software Quality and The Fuzzy Approachmentioning

confidence: 99%

Integrated Software Quality Evaluation: A Fuzzy Multi-Criteria Approach

Challa¹,

Paul²,

Dada³

et al. 2011

Journal of Information Processing Systems

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Abstract-Software measurement is a key factor in managing, controlling, and improving the software development processes. Software quality is one of the most important factors for assessing the global competitive position of any software company. Thus the quantification of quality parameters and integrating them into quality models is very essential. Software quality criteria are not very easily measured and quantified. Many attempts have been made to exactly quantify the software quality parameters using various models such as ISO/IEC 9126 Quality Model, Boehm's Model, McCall's model, etc. In this paper an attempt has been made to provide a tool for precisely quantifying software quality factors with the help of quality factors stated in ISO/IEC 9126 model. Due to the unpredictable nature of the software quality attributes, the fuzzy multi criteria approach has been used to evolve the quality of the software.

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Section: Related Work: Software Quality and The Fuzzy Approachmentioning

confidence: 99%

Integrated Software Quality Evaluation: A Fuzzy Multi-Criteria Approach

Challa¹,

Paul²,

Dada³

et al. 2011

Journal of Information Processing Systems

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“…In turn, these modifications add to the uncertainty of the process by introducing some unaccounted-for side effects. It is for this reason that some software practitioners have turned to empirical models for effort estimation [3,10,39,59,71,73]. Empirical models allow practitioners to overlook any assumptions about the underlying processes.…”

Section: Thesis Organizationmentioning

confidence: 99%

An effort prediction framework for software defect correction

Hassouna¹,

Tahvildari²

2010

Information and Software Technology

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Developers apply changes and updates to software systems to adapt to emerging environments and address new requirements. In turn, these changes introduce additional software defects, usually caused by our inability to comprehend the full scope of the modified code. As a result, software practitioners have developed tools to aid in the detection and prediction of imminent software defects, in addition to the effort required to correct them. Although software development effort prediction has been in use for many years, research into defect-correction effort prediction is relatively new. The increasing complexity, integration and ubiquitous nature of current software systems has sparked renewed interest in this field. Effort prediction now plays a critical role in the planning activities of managers. Accurate predictions help corporations budget, plan and distribute available resources effectively and efficiently. In particular, early defect-correction effort predictions could be used by testers to set schedules, and by managers to plan costs and provide earlier feedback to customers about future releases.In this work, we address the problem of predicting the effort needed to resolve a software defect. More specifically, our study is concerned with defects or issues that are reported on an Issue Tracking System or any other defect repository. Current approaches use one prediction method or technique to produce effort predictions. This approach usually suffers from the weaknesses of the chosen prediction method, and consequently the accuracy of the predictions are affected. To address this problem, we present a composite prediction framework. Rather than using one prediction approach for all defects, we propose the use of multiple integrated methods which complement the weaknesses of one another. Our framework is divided into two sub-categories, Similarity-Score Dependent and Similarity-Score Independent. The Similarity-Score Dependent method utilizes the power of Case-Based Reasoning, also known as Instance-Based Reasoning, to compute predictions. It relies on matching target issues to similar historical cases, then combines their known effort for an informed estimate. On the other hand, the Similarity-Score Independent method makes use of other defect-related information with some statistical manipulation to produce the required estimate. To measure similarity between defects, some method of distance calculation must be used. In some cases, this method might produce misleading results due to observed inconsistencies in history, and the fact that current similarity-scoring techniques cannot account for all the variability in the data. In this case, the Similarity-Score Independent method can be used to estimate the effort, where the effect of such inconsistencies can be reduced.We have performed a number of experimental studies on the proposed framework to assess the effectiveness of the presented techniques. We extracted the data sets from an operational Issue Tracking System in order to test the validity...

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“…The most popular software process improvement framework is the capability maturity model integration -CMMI (Agrawal & Chari, 2007;Beecham, Hall, & Rainer, 2005;Jiang, Klein, Hwang, Huang, & Hung, 2004), and as such was selected in this study as the baseline for analysis and discussion. The CMMI is a well-established framework in the area of process maturity.…”

Section: Introductionmentioning

confidence: 99%

Fatores-chave do processo de maturidade nas empresas caribenhas de língua inglesa

Chevers

2014

Rev. adm. empres.

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Fatores-chave do processo de maturidade nas empresas caribenhas de língua inglesa Factores clave de la madurez procesal en las empresas de habla inglesa del caribe ABSTRACTThe information system (IS) community has been struggling with the delivery of low quality systems. Software process improvement (SPI) has been accepted as one of the remedies to overcome this problem, with process maturity being a key element. However, most studies on process maturity and the determinants of IS quality have been conducted in large firms in developed countries. This study assessed the key determinants of process maturity in small software development firms in the English-speaking Caribbean (ESC). Using the established practices in the capability maturity model integration (CMMI) as the baseline for the analysis, it was found that project monitoring & control, and verification & validation are key determinants of process maturity in the ESC. These findings can assist IS professionals in their quest to produce higher quality software products, as well as provide a platform for further refinement of the proposed research model by IS researchers.KEYWORDS | Capability maturity model integration, information systems quality, English-speaking Caribbean firms, process maturity, PLS. RESUMO RAE-Revista de Administração de Empresas | FGV-EAESP

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Software Effort, Quality, and Cycle Time: A Study of CMM Level 5 Projects

Cited by 162 publications

References 42 publications

Integrated Software Quality Evaluation: A Fuzzy Multi-Criteria Approach

Integrated Software Quality Evaluation: A Fuzzy Multi-Criteria Approach

An effort prediction framework for software defect correction

Fatores-chave do processo de maturidade nas empresas caribenhas de língua inglesa

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