Abstract is missing.
- Risk and relevanceMurray Cantor. 1-2 [doi]
- Comparing negative binomial and recursive partitioning models for fault predictionElaine J. Weyuker, Thomas J. Ostrand, Robert M. Bell. 3-10 [doi]
- Comparing design and code metrics for software quality predictionYue Jiang 0001, Bojan Cukic, Tim Menzies, Nick Bartlow. 11-18 [doi]
- Adapting a fault prediction model to allow inter languagereuseShinya Watanabe, Haruhiko Kaiya, Kenji Kaijiri. 19-24 [doi]
- An empirical analysis of software effort estimation with outlier eliminationYeong-Seok Seo, Kyung-A Yoon, Doo-Hwan Bae. 25-32 [doi]
- Using correlation and accuracy for identifying good estimatorsGary D. Boetticher, Nazim Lokhandwala. 33-38 [doi]
- Data sets and data quality in software engineeringGernot Armin Liebchen, Martin J. Shepperd. 39-44 [doi]
- Practical use of defect detection and prediction in the development and maintenance of softwareChristopher W. Beal. 45-46 [doi]
- Implications of ceiling effects in defect predictorsTim Menzies, Burak Turhan, Ayse Bener, Gregory Gay, Bojan Cukic, Yue Jiang 0001. 47-54 [doi]
- Multi-criteria decision analysis for customization of estimation by analogy method AQUA+Jingzhou Li, Guenther Ruhe. 55-62 [doi]
- Confidence in software cost estimation results based on MMRE and PREDMarcel Korte, Dan Port. 63-70 [doi]
- Improving analogy software effort estimation using fuzzy feature subset selection algorithmMohammad Azzeh, Daniel Neagu, Peter I. Cowling. 71-78 [doi]
- Optimizing requirements decisions with keysOmid Jalali, Tim Menzies, Martin S. Feather. 79-86 [doi]
- Complementing approaches in ERP effort estimation practice: an industrial studyMaya Daneva. 87-92 [doi]
- Software defect repair times: a multiplicative modelSwapna S. Gokhale, Robert E. Mullen. 93-100 [doi]