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- articleApril 2019
An ensemble-based model for predicting agile software development effort
Empirical Software Engineering (KLU-EMSE), Volume 24, Issue 2Pages 1017–1055https://doi.org/10.1007/s10664-018-9647-0To support agile software development projects, an array of tools and systems is available to plan, design, track, and manage the development process. In this paper, we explore a critical aspect of agile development i.e., effort prediction, that cuts ...
- research-articleMay 2017
Bayesian network model for task effort estimation in agile software development
Journal of Systems and Software (JSSO), Volume 127, Issue CPages 109–119https://doi.org/10.1016/j.jss.2017.01.027Our Bayesian network model for effort prediction is suitable for any agile method.It is simple and small, with inputs that can be easily gathered.It has no practical impact on agility.The proposed model can be used during the early software project ...
- articleOctober 2013
Towards a simplified definition of Function Points
Information and Software Technology (INST), Volume 55, Issue 10Pages 1796–1809https://doi.org/10.1016/j.infsof.2013.04.003Background: The measurement of Function Points is based on Base Functional Components. The process of identifying and weighting Base Functional Components is hardly automatable, due to the informality of both the Function Point method and the ...
- articleFebruary 2013
Probabilistic size proxy for software effort prediction: A framework
Information and Software Technology (INST), Volume 55, Issue 2Pages 241–251https://doi.org/10.1016/j.infsof.2012.08.001Software effort prediction is an important and challenging activity that takes place during the early stages of software development, where costing is needed. Software size estimate is one of the most popular inputs for software effort prediction ...
- articleFebruary 2012
Validity and reliability of evaluation procedures in comparative studies of effort prediction models
Empirical Software Engineering (KLU-EMSE), Volume 17, Issue 1-2Pages 23–33https://doi.org/10.1007/s10664-011-9183-7We have in previous studies reported our findings and concern about the reliability and validity of the evaluation procedures used in comparative studies on competing effort prediction models. In particular, we have raised concerns about the use of ...
- research-articleJune 2011
Predicting software project effort
Expert Systems with Applications: An International Journal (EXWA), Volume 38, Issue 6Pages 7302–7316https://doi.org/10.1016/j.eswa.2010.12.005Research highlights We propose a novel approach of using grey relational analysis (GRA) to predict software effort prediction with outlier detection and feature subset selection at an early stage of a project. GRA is a recently developed system ...
- articleJanuary 2010
Software development effort prediction: A study on the factors impacting the accuracy of fuzzy logic systems
Information and Software Technology (INST), Volume 52, Issue 1Pages 92–109https://doi.org/10.1016/j.infsof.2009.08.001Reliable effort prediction remains an ongoing challenge to software engineers. Traditional approaches to effort prediction such as the use of models derived from historical data, or the use of expert opinion are plagued with issues pertaining to their ...
- articleMarch 2009
Handling imprecision and uncertainty in software development effort prediction: A type-2 fuzzy logic based framework
Information and Software Technology (INST), Volume 51, Issue 3Pages 640–654https://doi.org/10.1016/j.infsof.2008.09.004Traditional approaches for software projects effort prediction such as the use of mathematical formulae derived from historical data, or the use of experts judgments are plagued with issues pertaining to effectiveness and robustness in their results. ...
- research-articleNovember 1997
Estimating Software Project Effort Using Analogies
IEEE Transactions on Software Engineering (ISOF), Volume 23, Issue 11Pages 736–743https://doi.org/10.1109/32.637387Accurate project effort prediction is an important goal for the software engineering community. To date most work has focused upon building algorithmic models of effort, for example COCOMO. These can be calibrated to local environments. We describe an ...