Examining the Feasibility of a Case-Based Reasoning Model for Software Effort Estimation

Mukhopadhyay, Tridas; Vicinanza, Steven S.; Prietula, Michael J.

doi:10.2307/249573

Cited by 193 publications

(95 citation statements)

References 26 publications

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“…The extraction of these processes has been the central goal of hundreds of protocol analysis studies in the past 30 to 40 years. Some examples from business include: decision-making (Montgomery and Svenson, 1989), accounting (Riahi-Belkaoui, 1989), argumentation in management consulting (Young, 1988), and software cost estimation (Mukhopadhyay et al, 1992). And the method has been used extensively in studying decision-making processes of experts in areas other than business, such as chess (Charness, 1989), medical diagnosis (Johnson, 1988), mathematics (Webb, 1975) and scientific discovery (Qin and Simon, 1990).…”

Section: Method: Protocol Analysismentioning

confidence: 99%

Effectual versus predictive logics in entrepreneurial decision-making: Differences between experts and novices

Dew

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Sarasvathy

et al. 2009

Journal of Business Venturing

598

428

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Section: Method: Protocol Analysismentioning

confidence: 99%

Effectual versus predictive logics in entrepreneurial decision-making: Differences between experts and novices

Dew

Read

Sarasvathy

et al. 2009

Journal of Business Venturing

598

428

View full text Add to dashboard Cite

“…Examples include the study of expertise in chess (Charness 1989), scientific discovery (Qin and Simon 1990), mathematics (Webb 1975) and medical diagnosis (Johnson 1988). Several prior studies relate to business topics, such as how entrepreneurs and bankers manage risks (Sarasvathy et al 1998), cost estimation (Mukhopadhyay et al 1992), argumentation in management consulting (Young 1988), accounting expertise (Riahi-Belkaoui 1989) and decision making (Montgomery and Svenson 1989).…”

Section: Empirical Studymentioning

confidence: 99%

On the entrepreneurial genesis of new markets: effectual transformations versus causal search and selection

et al. 2010

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The generation of new markets is an emerging area of interest among researchers working in the traditions of evolutionary economics. And true to those traditions, the current study incorporates empirical evidence from psychology and cognitive science to develop micro-foundations for evolutionary theories of new market generation. In this paper we present an indepth analysis of how expert entrepreneurs use effectual logic to conceptualize the creation of new markets. Our results challenge received wisdom based on search and selection processes and move beyond combinatorial ideas to develop instead a "transformational" view of market genesis.

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“…Mukhopadhyay et al [37] presented early work using CBR. They used Kemerer's data set [26] and found that their analogy-based model Estor outperformed COCOMO [2].…”

Section: Related Workmentioning

confidence: 99%

Predicting software project effort: A grey relational analysis based method

Song

Shepperd

2011

Expert Systems with Applications

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The inherent uncertainty of the software development process presents particular challenges for software effort prediction. We need to systematically address missing data values, outlier detection, feature subset selection and the continuous evolution of predictions as the project unfolds, and all of this in the context of data-starvation and noisy data. However, in this paper, we particularly focus on outlier detection, feature subset selection, and effort prediction at an early stage of a project. We propose a novel approach of using Grey Relational Analysis (GRA) from Grey System Theory (GST), which is a recently developed system engineering theory based on the uncertainty of small samples. In this work we address some of the theoretical challenges in applying GRA to outlier detection, feature subset selection, and effort prediction, and then evaluate our approach on five publicly available industrial data sets using both stepwise regression and Analogy as benchmarks. The results are very encouraging in the sense of being comparable or better than other machine learning techniques and thus indicate that the method has considerable potential.

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Examining the Feasibility of a Case-Based Reasoning Model for Software Effort Estimation

Cited by 193 publications

References 26 publications

Effectual versus predictive logics in entrepreneurial decision-making: Differences between experts and novices

Effectual versus predictive logics in entrepreneurial decision-making: Differences between experts and novices

On the entrepreneurial genesis of new markets: effectual transformations versus causal search and selection

Predicting software project effort: A grey relational analysis based method

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