Finding the merits and drawbacks of software resources from comments

Authors:
Changsheng Liu; Yanzhen Zou; Sibo Cai;Bing Xie; Hong Mei
Affiliations:
Software Institute, School of Electronics Engineering and Computer Science, Peking University, China;Software Institute, School of Electronics Engineering and Computer Science, Peking University, China;Software Institute, School of Electronics Engineering and Computer Science, Peking University, China;Software Institute, School of Electronics Engineering and Computer Science, Peking University, China;Software Institute, School of Electronics Engineering and Computer Science, Peking University, China
Venue:
ASE '11 Proceedings of the 2011 26th IEEE/ACM International Conference on Automated Software Engineering
Year:
2011

Citing 6
Cited 1

Evaluating software engineering standards

Computer
Support vector machine active learning with applications to text classification

The Journal of Machine Learning Research
A comparative analysis of the efficiency of change metrics and static code attributes for defect prediction

Proceedings of the 30th international conference on Software engineering
A Bayesian model for predicting reliability of software systems at the architectural level

QoSA'07 Proceedings of the Quality of software architectures 3rd international conference on Software architectures, components, and applications
Enriching Descriptions for Public Web Services Using Information Captured from Related Web Pages on the Internet

SOSE '10 Proceedings of the 2010 Fifth IEEE International Symposium on Service Oriented System Engineering
Deviance from perfection is a better criterion than closeness to evil when identifying risky code

Proceedings of the IEEE/ACM international conference on Automated software engineering

Analysis of user comments: an approach for software requirements evolution

Proceedings of the 2013 International Conference on Software Engineering

Quantified Score

Hi-index	0.00

Visualization

Abstract

In order to reuse software resources efficiently, developers need necessary quality guarantee on software resources. However, our investigation proved that most software resources on the Internet did not provide enough quality descriptions. In this paper, we propose an approach to help developers judge a software resource's quality based on comments. In our approach, the software resources' comments on the Internet are automatically collected, the sentiment polarity (positive or negative) of a comment is identified and the quality aspects which the comment talks about are extracted. As a result, the merits and drawbacks of software resources are drew out which could help developers judge a software resource's quality in the process of software resource selection and reuse. To evaluate our approach, we applied our method to a group of open source software and the results showed that our method achieved satisfying precision in merits and drawbacks finding.