About PROMISE'07 The PROMISE workshop seeks to deliver to the software engineering community useful, usable, verifiable, and repeatable models. It builds upon the success of the previous workshops. Empirical data, which is the foundation for the modeling process, currently consists of more than 30 data sets. As such, the theme is "models and methods."
Open QuestionsSoftware engineering is a decision intensive discipline. But do we really understand software engineering? Can we help software engineers by building models that reveal hidden patterns regarding software resource management? How well do these models predict? Can they be used without requiring domain expert intervention? Do these models lead to better decisions? How are we to validate these models? Is the model creation process repeatable? Are there better, faster, cheaper ways to build those models? How effective are these models for identifying causal relations?
Adequate and Precise Evaluation of Predictive Models in Software Engineering Studies
Yan Ma and Bojan Cukic.
Project Data Incorporating Qualitative Factors for
Improved Software Defect Prediction
Norman Fenton, Martin Neil, William Marsh, Peter Hearty, Lukasz Radlinski and Paul Krause.
Global Sensitivity Analysis of Predictor Models in Software Engineering
Stefan Wagner
Make the Most of Your Time: How Should the Analyst Work with Automated Traceability Tools?
Alexander Dekhtyar, Jane Hayes and Jody Larsen.
Assessing the Reliability of a Human Estimator
Gary Boetticher and Nazim Lokhandwala.
Decision Support Analysis for Software Effort Estimation by Analogy
Jingzhou Li and Guenther Ruhe.
Omid Jalali, Tim Menzies, Dan Baker and Jairus Hihn
Column Pruning Beats Stratification in Effort Estimation
Prof. Norman Fenton"... much of the current software metrics research is inherently irrelevant to the industrial mix ..."
"... any software metrics program that depends on some extensive metrics collection is doomed to failure ..."
Using Developer Information as a Prediction Factor
Elaine Weyuker, Thomas Ostrand and Robert Bell
Predicting Defects for Eclipse
Thomas Zimmermann, Rahul Premraj and Andreas Zeller.
Modeling the Effect of Size on Defect Proneness for Open-Source Software
Gunes Koru, Dongsong Zhang and Hongfang Liu.
Complexity Measures for Secure Service-Oriented Software Architectures
Michael Yanguo Liu and Issa Traore.
Experiments on Design Pattern Discovery
Jing Dong and Yajing Zhao.
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