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  Browse All Reviews > Software (D) > Software Engineering (D.2) > Management (D.2.9) > Time Estimation (D.2.9...)  
 
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  1-7 of 7 Reviews about "Time Estimation (D.2.9...)": Date Reviewed
  Software measurement and estimation: a practical approach (Quantitative Software Engineering Series)
Laird L., Brennan M., Wiley-IEEE Computer Society Pr, 2006. 280 pp.  Type: Book (9780471676225)

This thin book tries to provide a lot of information on a timely subject: software quality, metrics, and estimation. Brevity is its main virtue, and lack of depth is its main shortcoming....

Nov 13 2006
  Realism in Assessment of Effort Estimation Uncertainty: It Matters How You Ask
Jrgensen M. IEEE Transactions on Software Engineering 30(4): 209-217, 2004.  Type: Article

The results of research on software effort estimation are presented in this paper. This topic is very interesting, given the difficulty of, and the limited tools for, producing good estimates of software work....

Jun 1 2004
  The software maintenance project effort estimation model based on function points
Ahn Y., Suh J., Kim S., Kim H. Journal of Software Maintenance: Research and Practice 15(2): 71-85, 2003.  Type: Article

Software system development effort estimation methods usually take the form effort = f (size). That is, they are usually a function f of the size of the software system in question....

Sep 25 2003
  A Controlled Experiment in Maintenance Comparing Design Patterns to Simpler Solutions
Prechelt L., Unger B., Tichy W., Brössler P., Votta L. IEEE Transactions on Software Engineering 27(12): 1134-1144, 2001.  Type: Article

This paper presents the results of a controlled experiment, using 29 professional software engineers, that compared performance on maintenance tasks using designs with patterns (PAT), and using simpler alternatives (ALT)....

May 21 2003
  Machine Learning Approaches to Estimating Software Development Effort
Srinivasan K., Fisher D. IEEE Transactions on Software Engineering 21(2): 126-137, 1995.  Type: Article

Experimental results of applying two machine learning methods to predicting software development effort from historical data are presented. One method, recursive partitioning regression, as implemented in a system called CARTX, builds ...

Apr 1 1996
  A Pattern Recognition Approach for Software Engineering Data Analysis
Briand L., Basili V., Thomas W. IEEE Transactions on Software Engineering 18(11): 931-942, 1992.  Type: Article

A new approach to predicting the effort required to develop a software application, optimized set reduction (OSR), is defined. Using a sample base of 78 completed projects, the predictive qualities of OSR are compared with the predicti...

Oct 1 1993
  Why is Software Late? An Empirical Study of Reasons for Delay in Software Development
van Genuchten M. IEEE Transactions on Software Engineering 17(6): 582-590, 1991.  Type: Article

This study of the reasons for delays in software development was based on an empirical investigation of 160 project activities, or tasks, within the software engineering department of an anonymous organization. The study data comprised...

Oct 1 1992
 
 
 
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