7 articles for “software cost estimation models”

Set a search alert

Research ArticleOpen accessIn the keywordsA Novel Algorithmic Cost Estimation Model Based on Soft Computing TechniqueIman Attarzadeh, Siew Hock OwProblem statement: Software development effort estimation is the process of predicting the most realistic use of effort required for developing software based on some parameters. It has always characterized one of the biggest challenges in Computer Science for the last decades. Because time and cost estimate at the early stages of the software development are the most difficult to obtain … …Journal of Computer Science, Vol. 6, Issue 2 · 28 Feb 2010 · 7,927 accessesView PDF Cite

Research ArticleOpen accessIn the abstractOptimizing Software Effort Estimation Models Using Back-Propagation Versus Radial Base Function NetworksAbdel Karim BaarehSoftware development effort estimation becomes a very important and vital tool for many researchers in different fields. Software estimation used in controlling, organizing and achieving projects in the required time and cost to avoid the financial punishments due to the time delay and other different circumstances that may happen. Good project cost estimation will lead to project success and reduce … …Journal of Computer Science, Vol. 15, Issue 3 · 11 Mar 2019 · 7,464 accessesView PDF Cite

Research ArticleOpen accessIn the abstractA HYBRID INTELLIGENT MODEL FOR SOFTWARE COST ESTIMATIONWei Lin Du, Luiz Fernando Capretz, Ali Bou Nassif, Danny HoAccurate software development effort estimation is critical to the success of software projects. Although many techniques and algorithmic models have been developed and implemented by practitioners, accurate software development effort prediction is still a challenging endeavor in the field of software engineering, especially in handling uncertain and imprecise inputs and collinear characteristics. In this study, a hybrid intelligent model combining … …Journal of Computer Science, Vol. 9, Issue 11 · 28 Sep 2013 · 7,745 accessesView PDF Cite

Research ArticleOpen accessIn the abstractDetection of Aberrant Data Points for an effective Effort Estimation using an Enhanced Algorithm with Adaptive FeaturesS. Malathi, S. SridharProblem statement: The spiraling growth of IT industry has witnessed an unprecedented change in the software development paradigm, from algorithmic models to machine learning techniques. At present, there are no standard methods to predict the accuracy of software cost estimation, which is an important goal of the software community. Approach: This study proposes a simple and systematic algorithmic procedure for … …Journal of Computer Science, Vol. 8, Issue 2 · 21 Nov 2011 · 7,094 accessesView PDF Cite

Research ArticleOpen accessIn the abstractImproving the Accuracy of Effort Estimation through Fuzzy Set Representation of SizeCh. Satyananda Reddy, KVSVN RajuProblem statement: The precision and reliability of the effort estimation is very important for the competitiveness of software companies. The uncertainty at the input level of the Constructive Cost Model (COCOMO) yields uncertainty at the output, which leads to gross estimation error in the effort estimation. Fuzzy logic-based cost estimation models are more appropriate when vague and imprecise information was … …Journal of Computer Science, Vol. 5, Issue 6 · 30 Jun 2009 · 7,085 accessesView PDF Cite

Research ArticleOpen accessIn the abstractEstimation of the COCOMO Model Parameters Using Genetic Algorithms for NASA Software ProjectsAlaa F. ShetaDefining the project estimated cost, duration and maintenance effort early in the development life cycle is a valuable goal to be achieved for software projects. Many model structures evolved in the literature. These model structures consider modeling software effort as a function of the developed line of code (DLOC). Building such a function helps project managers to accurately allocate the … …Journal of Computer Science, Vol. 2, Issue 2 · 28 Feb 2006 · 9,357 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordBayesian Regularization in a Neural Network Model to Estimate Lines of Code Using Function PointsK. K. Aggarwal, Yogesh Singh, Pravin Chandra, Manimala PuriIt is a well known fact that at the beginning of any project, the software industry needs to know, how much will it cost to develop and what would be the time required ? . This paper examines the potential of using a neural network model for estimating the lines of code, once the functional requirements are known. Using the … …Journal of Computer Science, Vol. 1, Issue 4 · 31 Dec 2005 · 30,191 accessesView PDF Cite