Assessing modular structure of legacy code based on mathematical concept analysis
ICSE '97 Proceedings of the 19th international conference on Software engineering
Bayesian Networks and Decision Graphs
Bayesian Networks and Decision Graphs
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
A Cost-Value Approach for Prioritizing Requirements
IEEE Software
Rough Set Based Data Analysis in Goal Oriented Software Measurement
METRICS '96 Proceedings of the 3rd International Symposium on Software Metrics: From Measurement to Empirical Results
An Estimation-Based Management Framework for Enhancive Maintenance in Commercial Software Products
ICSM '02 Proceedings of the International Conference on Software Maintenance (ICSM'02)
Dependency networks for inference, collaborative filtering, and data visualization
The Journal of Machine Learning Research
Probabilistic Memory-Based Collaborative Filtering
IEEE Transactions on Knowledge and Data Engineering
Feature-rich part-of-speech tagging with a cyclic dependency network
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
Supporting Software Release Planning Decisions for Evolving Systems
SEW '05 Proceedings of the 29th Annual IEEE/NASA on Software Engineering Workshop
Case studies for software engineers
Proceedings of the 28th international conference on Software engineering
Proceedings of the 2006 international workshop on Software technology transfer in software engineering
Proceedings of the 2006 ACM/IEEE international symposium on Empirical software engineering
Learning Contextual Dependency Network Models for Link-Based Classification
IEEE Transactions on Knowledge and Data Engineering
Hybrid Intelligence in Software Release Planning
International Journal of Hybrid Intelligent Systems
Software product release planning through optimization and what-if analysis
Information and Software Technology
Key Aspects of Software Release Planning in Industry
ASWEC '08 Proceedings of the 19th Australian Conference on Software Engineering
All of Statistics: A Concise Course in Statistical Inference
All of Statistics: A Concise Course in Statistical Inference
Two machine-learning techniques for mining solutions of the ReleasePlannerTM decision support system
Information Sciences: an International Journal
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Objective: Decision support provided to users is often lack of acceptance. One of the reasons is a deficit in understanding where the suggestions come from and how they come. This essentially is not a technical problem, but a technology adoption problem. This situation was also analyzed as a result of former empirical studies conducted on ReleasePlannerTM, a decision support tool for planning product releases. To overcome this situation, three machine learning techniques have been applied to mine the tool's solutions, and the mining results are presented to the tool users as explanations. This paper presents the evaluation on the generated explanations as a means to improve the user acceptance of the tool. Method: A three-stage controlled experiment was designed and carried out with a group of ten graduate students at the University of Calgary and another group of five project managers from the IT industry. Two research goals were addressed to (i) evaluate the impact of the explanations generated from these three applied techniques, and (ii) compare some of the findings from this study with the ones from our previous experiments. Results: Our findings for the first research goal indicated that the explanations generated from the three techniques contributed to the improvement of the subjects' confidence in the tool solutions and trust of the tool, and therefore an overall better user acceptance of the tool. Meanwhile, no significant differences were found among the impacts of the three techniques. For the second research goal, we found that some of the findings from this study were consistent with the ones from our previous experiments.