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Related papers: A Hybrid Intelligent Model for Software Cost Estim…

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Good software cost prediction is important for effective project management such as budgeting, project planning and control. In this paper, we present an intelligent approach to software cost prediction. By integrating the neuro-fuzzy…

Software Engineering · Computer Science 2015-08-04 Xishi Huang , Luiz Fernando Capretz , Danny Ho , Jing Ren

Software effort estimation is a critical part of software engineering. Although many techniques and algorithmic models have been developed and implemented by practitioners, accurate software effort prediction is still a challenging…

Software Engineering · Computer Science 2015-08-04 Wei Lin Du , Danny Ho , Luiz Fernando Capretz

One of the significant objectives of software engineering community is to use effective and useful models for precise calculation of effort in software cost estimation. The existing techniques cannot handle the dataset having categorical…

Software Engineering · Computer Science 2012-11-07 S. Malathi , S. Sridhar

Most important reason for project failure is poor effort estimation. Software development effort estimation is needed for assigning appropriate team members for development, allocating resources for software development, binding etc.…

Software Engineering · Computer Science 2019-12-30 Aditi Sharma , Ravi Ranjan

Web Effort Estimation is a process of predicting the efforts and cost in terms of money, schedule and staff for any software project system. Many estimation models have been proposed over the last three decades and it is believed that it is…

Software Engineering · Computer Science 2011-11-02 Sanaa Elyassami , Ali Idri

Software Cost Estimation with resounding reliability,productivity and development effort is a challenging and onerous task. This has incited the software community to give much needed thrust and delve into extensive research in software…

Software Engineering · Computer Science 2011-12-19 S. Malathi , S. Sridhar

Software effort estimation at early stages of project development holds great significance for the industry to meet the competitive demands of today's world. Accuracy, reliability and precision in the estimates of effort are quite…

Software Engineering · Computer Science 2010-04-20 Vishal Sharma , Harsh Kumar Verma

Software effort estimation plays a critical role in project management. Erroneous results may lead to overestimating or underestimating effort, which can have catastrophic consequences on project resources. Machine-learning techniques are…

Software Engineering · Computer Science 2019-02-12 Ali Bou Nassif , Mohammad Azzeh , Ali Idri , Alain Abran

The effort invested in a software project is probably one of the most important and most analyzed variables in recent years in the process of project management. The limitation of algorithmic effort prediction models is their inability to…

Software Engineering · Computer Science 2013-10-22 Sumeet Kaur Sehra , Yadwinder Singh Brar , Navdeep Kaur

Many cost estimation models have been proposed over the last three decades. In this study, we investigate fuzzy ID3 decision tree as a method for software effort estimation. Fuzzy ID software effort estimation model is designed by…

Software Engineering · Computer Science 2012-04-12 Sanaa Elyassami , Ali Idri

Predicting the time to build software is a very complex task for software engineering managers. There are complex factors that can directly interfere with the productivity of the development team. Factors directly related to the complexity…

The aims of our research are to evaluate the prediction performance of the proposed neuro-fuzzy model with System Evaluation and Estimation of Resource Software Estimation Model (SEER-SEM) in software estimation practices and to apply the…

Software Engineering · Computer Science 2015-07-27 Wei Lin Du , Danny Ho , Luiz Fernando Capretz

Accurate estimation such as cost estimation, quality estimation and risk analysis is a major issue in management. We propose a patent pending soft computing framework to tackle this challenging problem. Our generic framework is independent…

Software Engineering · Computer Science 2015-08-04 Danny Ho , Luiz Fernando Capretz , Xishi Huang , Jing Ren

Software project estimation is crucial aspect in delivering software on time and on budget. Software size is an important metric in determining the effort, cost, and productivity. Today, source lines of code and function point are the most…

Software Engineering · Computer Science 2015-08-26 Justin Wong , Danny Ho , Luiz Fernando Capretz

The need to update the calibration of Function Point (FP) complexity weights is discussed, whose aims are to fit specific software application, to reflect software industry trend, and to improve cost estimation. Neuro-Fuzzy is a technique…

Software Engineering · Computer Science 2015-07-27 Wei Xia , Danny Ho , Luiz Fernando Capretz

Software cost estimation is one of the prerequisite managerial activities carried out at the software development initiation stages and also repeated throughout the whole software life-cycle so that amendments to the total cost are made. In…

Software Engineering · Computer Science 2023-12-21 Efi Papatheocharous , Harris Papadopoulos , Andreas S. Andreou

One of the most important objectives of software engineering community has been the increase of useful models that beneficially explain the development of life cycle and precisely calculate the effort of software cost estimation. In analogy…

Software Engineering · Computer Science 2012-09-13 S. Malathi , S. Sridhar

Software estimation is a crucial task in software engineering. Software estimation encompasses cost, effort, schedule, and size. The importance of software estimation becomes critical in the early stages of the software life cycle when the…

Software Engineering · Computer Science 2016-12-06 Ali Bou Nassif , Luiz Fernando Capretz , Danny Ho

Developing software projects allows students to put knowledge into practice and gain teamwork skills. However, assessing student performance in project-oriented courses poses significant challenges, particularly as the size of classes…

Computers and Society · Computer Science 2024-05-02 Anna Ogorodova , Pakizar Shamoi , Aron Karatayev

To understand and predict the performance of scientific applications, several analytical and machine learning approaches have been proposed, each having its advantages and disadvantages. In this paper, we propose and validate a hybrid…

Performance · Computer Science 2019-02-27 Huda Ibeid , Siping Meng , Oliver Dobon , Luke Olson , William Gropp
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