Case and Feature Subset Selection in Case-Based Software Project Effort Prediction-Reference-Cited by-同舟云学术

Case and Feature Subset Selection in Case-Based Software Project Effort Prediction

Published:2003 Issue: Volume: Page:61-74
ISSN:
Container-title:Research and Development in Intelligent Systems XIX
language:
Short-container-title:

Author:

Kirsopp Colin,Shepperd Martin

Publisher

Springer London

Link

http://link.springer.com/content/pdf/10.1007/978-1-4471-0651-7_5.pdf

Reference21 articles.

1. Jeffery R, Ruhe M, Wieczorek I. Using public domain metrics to estimate software development effort, presented at 7th IEEE Intl. Metrics Symp., London, 2001.

2. Boehm BW. Software engineering economics, IEEE Transactions on Software Engineering, vol. 10, pp. 4 – 21, 1984.

3. Putnam LH. A general empirical solution to the macro software sizing and estimating problem, IEEE Transactions on Software Engineering, vol. 4, pp. 345 – 361, 1978.

4. Kok P, Kitchenham BA, Kirakowski J. The MERMAID approach to software cost estimation, presented at Esprit Technical Week, 1990.

5. Selby RW & Porter AA. Learning from examples: generation and evaluation of decision trees for software resource analysis, IEEE Transactions on Software Engineering, vol. 14, pp. 743 – 757, 1988.

Cited by 13 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Novel Software Effort Estimation Method using Naive Bayes Technique;2022 3rd International Conference on Smart Electronics and Communication (ICOSEC);2022-10-20

2. NOVEL SOFTWARE EFFORT ESTIMATION USING SUPPORT VECTOR MACHINE AND COMPARE PREDICTION ACCURACY WITH K NEAREST NEIGHBOUR BASED TECHNIQUES;INT J EARLY CHILD SP;2022

3. Salp Swarm Optimizer for Modeling Software Reliability Prediction Problems;Neural Processing Letters;2021-08-03

4. Estimating software development effort using fuzzy clustering‐based analogy;Journal of Software: Evolution and Process;2020-10-13

5. Realistic assessment of software effort estimation models;Proceedings of the 20th International Conference on Evaluation and Assessment in Software Engineering;2016-06