Results 281 to 290 of about 83,073 (313)

On Learning Software Effort Estimation

2015 3rd International Symposium on Computational and Business Intelligence (ISCBI), 2015
Software Effort is defined as the person months required to make a software application. Software effort estimation is usually the most important phase in the software development life cycle. Software effort estimation requires high accuracy at early phases, but accurate estimations are difficult to achieve.
Sidra Tariq, Muhammad Usman, Raymond Wong, Yan Zhuang, Simon Fong   +4 more
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A review of software surveys on software effort estimation

2003 International Symposium on Empirical Software Engineering, 2003. ISESE 2003. Proceedings., 2004
This paper summarizes estimation knowledge through a review of surveys on software effort estimation. Main findings were that: (1) most projects (60-80%) encounter effort and/or schedule overruns. The overruns, however, seem to be lower than the overruns reported by some consultancy companies.
K. Molokken, M. Jorgensen
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Active learning and effort estimation: Finding the essential content of software effort estimation data

IEEE Transactions on Software Engineering, 2013
Background: Do we always need complex methods for software effort estimation (SEE)? Aim: To characterize the essential content of SEE data, i.e., the least number of features and instances required to capture the information within SEE data. If the essential content is very small, then 1) the contained information must be very brief and 2) the value ...
Ekrem Kocaguneli, Tim Menzies, Jacky Keung, David R. Cok, Raymond J. Madachy   +4 more
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Software Effort Estimation Based on Use Cases

30th Annual International Computer Software and Applications Conference (COMPSAC'06), 2006
Software effort and cost estimation is a very important activity that includes very uncertain elements. In the context of object oriented software, traditional methods and metrics were extended to help managers in this activity. The metric Use Case Points (UCP) is an example of metric that can be used.
Márcio Rodrigo Braz, Silvia Regina Vergilio   +1 more
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Kurtosis and Skewness Adjustment for Software Effort Estimation

2018 25th Asia-Pacific Software Engineering Conference (APSEC), 2018
To avoid software development project failure, accurate estimation of software development effort is necessary at the beginning of a software project. This paper proposes to adjust the kurtosis and the skewness of project feature variables for better fitting of software estimation models.
Seiji Fukui, Akito Monden, Zeynep Yücel
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A model for software development effort and cost estimation

IEEE Transactions on Software Engineering, 1997
Several algorithmic models have been proposed to estimate software costs and other management parameters. Early prediction of completion time is absolutely essential for proper advance planning and aversion of the possible ruin of a project. L.H. Putnam's (1978) SLIM (Software LIfecycle Management) model offers a fairly reliable method that is used ...
Krishnakumar Pillai, V. S. S. Nair
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Software Effort Estimation and Risk Management

2013
Every software business has to be able to budget and plan its software development projects realistically. Since software projects are usually fraught with uncertainty, they inherently involve planning risks right from the start. Consequently, it is important to manage cost-related risks in order to monitor them and implement adequate contingency plans
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A Current Assessment of Software Development Effort Estimation

2011 International Symposium on Empirical Software Engineering and Measurement, 2011
In most cases, software projects exceed their estimated effort. It is often assumed that inaccurate estimates are the main reason for these overruns. Contrarily, our results show that this assumption is not reasonable in many cases. We conducted a survey to gather data on the current situation of software development effort estimation.
Dirk Basten, Werner Mellis
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Dimensionality reduction in software development effort estimation

Journal of Systems and Software, 1993
Abstract During the last decade, an increasing number of researchers have attempted to address the problem of estimating software development effort. Recent empirical evaluations of the effort estimation models developed to date indicate two problems — model complexity and poor portability.
Girish H. Subramanian, Steven Breslawski
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An experiment on software project size and effort estimation

2003 International Symposium on Empirical Software Engineering, 2003. ISESE 2003. Proceedings., 2004
Expert judgment is still the dominant estimation technique in practice today for software project size and effort. In this paper, we evaluate two techniques that are frequently suggested as effective support for human estimators: checklists and group discussions.
Ursula Passing, Martin J. Shepperd
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