| Description |
x, 355 pages : illustrations ; 29 cm |
| Series |
Series on software engineering and knowledge engineering ; v. 16 |
|
Series on software engineering and knowledge engineering ; v. 16
|
| Contents |
Ch. 1. Introduction of machine learning and software engineering -- Ch. 2. ML applications in prediction and estimation -- Bayesian analysis of empirical software engineering cost models / S. Chulani, B. Boehm and B. Steece -- Machine learning approaches to estimating software development effort / K. Srinivasan and D. Fisher -- Estimating software project effort using analogies / M. Shepperd and C. Schofield -- A critique of software defect prediction models / N. E. Fenton and M. Neil -- Using regression trees to classify fault-prone software modules / T. M. Khoshgoftaar, E. B. Allen and J. Deng -- Can genetic programming improve software effort estimation? : a comparative evaluation / C. J. Burgess and M. Lefley -- Optimal software release scheduling based on artificial neural networks / T. Dohi, Y. Nishio and S. Osaki -- Ch. 3. ML applications in property and model discovery -- Identifying objects in procedural programs using clustering neural networks / S. K. Abd-El-Hafiz -- Bayesian-learning based guidelines to determine equivalent mutants / A. M. R. Vincenzi -- Ch. 4. ML applications in transformation -- Using neural networks to modularize software / R. Schwanke and S. J. Hanson -- Ch. 5. ML applications in generation and synthesis -- Generating software test data by evolution / C. C. Michael, G. McGraw and M. A. Schatz -- Ch. 6. ML applications in reuse -- On the reuse of software : a case-based approach employing a repository / P. Katalagarianos and Y. Vassiliou -- Ch. 7. ML applications in requirement acquisition -- Inductive specification recovery : understanding software by learning from example behaviors / W. W. Cohen -- Explanation-based scenario generation for reactive system models / R. J. Hall -- Ch. 8. ML applications in management of development knowledge -- Case-based knowledge management tools for software development / S. Henninger -- Ch. 9. Guidelines and conclusion |
| Bibliography |
Includes bibliographical references (pages 345-355) and index |
| Subject |
Computer software -- Evaluation.
|
|
Computer software -- Quality control.
|
|
Software engineering.
|
|
Machine learning.
|
| Author |
Tsai, Jeffrey J.-P.
|
|
Zhang, Du.
|
| LC no. |
2007296330 |
| ISBN |
9812560947 |
|
