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Estimating Costs for Agent Oriented Software
2006Despite the progress in agent oriented software engineering, there is still a long way before achieving maturity. Among others, there is a lack of shared experience in evaluating the cost when developing software using the agent paradigm. This paper provides some results on this issue. It collects data from real agent based projects and gives hints for
Jorge J. Gómez-Sanz +2 more
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Estimating software development schedules and costs
Proceedings of the ninth design automation workshop on Design automation - DAC '72, 1972Estimates of large scale software development schedules and associated costs have had a history of being wrong more than right. The landscape is littered with examples of such projects, including some design automation systems, which were over a year late in becoming operational and costing millions of dollars more than estimated. There are a number of
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Estimating the costs of software maintenance tasks
Proceedings of International Conference on Software Maintenance, 2002In order to control the maintenance process, it is necessary to be able to accurately predict maintenance costs. This paper proposes ways of extending current cost estimation methods to the estimation of maintenance costs, by means of impact analysis, proportional sizing, quality assessment and productivity adjustment.
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Algorithmic cost estimation for software evolution
Proceedings of the 2000 International Conference on Software Engineering. ICSE 2000 the New Millennium, 2000This study addresses the problem of cost estimation in the context of software evolution by building a set of quantitative models and assessing their predictive power. The models aim at capturing the relationship between effort, productivity and a suite of metrics of software evolution extracted from empirical data sets.
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IASCE: an intelligent assistant to software cost estimation
Proceedings Fourth International Conference on Tools with Artificial Intelligence TAI '92, 2003A CASE (computer-aided software design) tool called IASCE has been developed to help the project manager estimate a proposed project cost. This tool collects accurate data from current software so that researchers can explore new software models and metrics.
Shouli Wang, Dionysios Kountanis
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Repository based software cost estimation
1997One important problem with software development projects is to get an early and nevertheless accurate estimation of the software development costs. In the literature various methods have been developed for this purpose. The most popular examples are Boehm's COCOMO, Albrecht's function-Point method or Sneed's object-point method.
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A causal model for software cost estimating error
IEEE Transactions on Software Engineering, 1998Software cost estimation is an important concern for software managers and other software professionals. The hypothesized model in this research suggests that an organization's use of an estimate influences its estimating practices which influence both the basis of the estimating process and the accuracy of the estimate.
Albert L. Lederer, Jayesh Prasad
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A Pitfall of estimated software cost
2010 2nd IEEE International Conference on Information Management and Engineering, 2010A pitfall hidden in the software cost estimation process is presented. Software project cost estimation process based on the quantile estimation software project cost distribution is not sub-additive and produce unrealistic cost estimates. Sub-additive is the process where the estimation of parts is less than or equal to the estimation of the whole ...
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ACM SIGMIS Database: the DATABASE for Advances in Information Systems, 1981
John R. Golden +2 more
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John R. Golden +2 more
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Neural network approach for software cost estimation
International Conference on Information Technology: Coding and Computing (ITCC'05) - Volume II, 2005Software engineering measurement and analysis specifically, cost estimation initiatives have been in the center of attention for many firms. In this paper, author explores the use of the expert judgment and machine learning techniques using neural network as well as referencing COCOMO II approach to predict the cost of software.
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