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Effort estimation in incremental software development
IEE Proceedings - Software, 2003Incremental software development offers many benefits compared with more traditional development approaches. Indeed, incremental approaches have been utilised for many years due to the involvement of users, the early demonstration of capability and the potential for risk reduction that they offer.
Oddur Benediktsson, Darren Dalcher
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Software project effort estimation with voting rules
Decision Support Systems, 2009Social choice deals with aggregating the preferences of a number of voters into a collective preference. We will use this idea for software project effort estimation, substituting the voters by project attributes. Therefore, instead of supplying numeric values for various project attributes that are then used in regression or similar methods, a new ...
Stefan Koch 0001, Johann Mitlöhner
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Simple empirical software effort estimation model
Proceedings of the 8th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2014Context: An effort estimation model with more than 20 parameters is not very useful at early conceptual phase if you don't have a logical approach for specifying the input values.Goal: This paper presents a simple approach for predicting software development effort.Method: The regression model uses product size and application types to predict effort ...
Rosa, Wilson +3 more
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Sequential Model Optimization for Software Effort Estimation
IEEE Transactions on Software Engineering, 2022Many methods have been proposed to estimate how much effort is required to build and maintain software. Much of that research tries to recommend a single method - an approach that makes the dubious assumption that one method can handle the diversity of software project data.
Tianpei Xia +3 more
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The usage of ISBSG data fields in software effort estimation: A systematic mapping study [PDF]
Journal of Systems and Software, 2016 [EN] The International Software Benchmarking Standards Group (ISBSG) maintains a repository of data about completed software projects. A common use of the ISBSG dataset is to investigate models to estimate a software project's size, effort, duration, and
Fernando González-Ladrón-de-Guevara +2 more
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Modeling expert effort estimation of software projects
2014 22nd International Conference on Software, Telecommunications and Computer Networks (SoftCOM), 2014Effort estimation is important part of software project management. Based on applied strategy these models can be classified into groups of algorithmic and non-algorithmic models. In this study we present the model for expert effort estimation developed using data mining techniques - a multilayer perceptron (MLP) artificial neural network. The data set
Hrvoje Karna, Sven Gotovac
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Estimating software maintenance effort
Proceedings of the 1st India software engineering conference, 2008Software maintenance forms an essential component of software development. Its planning includes estimation of maintenance effort, duration, personnel and costs. Adequate information regarding size, complexity and maintainability is however often unavailable. In the present work, a Neural Network (NN) based effort estimator is developed using Matlab. A
Ruchi Shukla, Arun Kumar Misra
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Software Architecture Influence on Software Effort Estimation
This study was supported by the Faculty of Business Information Technology, College of Technology and Design, University of Economics Ho Chi Minh City, under Project CTD-2024-02 and the Faculty of Applied Informatics, Tomas Bata University in Zl\u00EDn, under Project RO 302106002025/2102.Vo Van, Hai +2 more
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A survey on software effort estimation
2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT), 2016In software effort estimation lot of algorithmic and prediction methods are available. Even though the researches try to get a better effort estimation technique. Because it has a vital role in software engineering. Mostly, the industries use the expert's judgements for assessing the effort.
K. Usharani +2 more
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Probabilistic estimation of software size and effort
Expert Systems with Applications, 2010We propose a probabilistic neural network (PNN) approach for simultaneously estimating values of software development parameter (either software size or software effort) and probability that the actual value of the parameter will be less than its estimated value.
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