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Estimating software maintenance effort

Proceedings of the 1st India software engineering conference, 2008
Software 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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Probabilistic estimation of software size and effort

Expert Systems with Applications, 2010
We 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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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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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   +4 more
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A survey on software effort estimation

2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT), 2016
In 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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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   +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   +1 more
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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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