TY - GEN
T1 - Tell them apart
T2 - 33rd IEEE/ACM International Conference on Automated Software Engineering, ASE 2018
AU - Huang, Yi
AU - Chen, Chunyang
AU - Xing, Zhenchang
AU - Lin, Tian
AU - Liu, Yang
N1 - Publisher Copyright:
© 2018 Association for Computing Machinery.
PY - 2018/9/3
Y1 - 2018/9/3
N2 - Developers can use different technologies for many software development tasks in their work. However, when faced with several technologies with comparable functionalities, it is not easy for developers to select the most appropriate one, as comparisons among technologies are time-consuming by trial and error. Instead, developers can resort to expert articles, read official documents or ask questions in Q&A sites for technology comparison, but it is opportunistic to get a comprehensive comparison as online information is often fragmented or contradictory. To overcome these limitations, we propose the diffTech system that exploits the crowdsourced discussions from Stack Overflow, and assists technology comparison with an informative summary of different comparison aspects. We first build a large database of comparable software technologies by mining tags in Stack Overflow, and locate comparative sentences about comparable technologies with NLP methods. We further mine prominent comparison aspects by clustering similar comparative sentences and represent each cluster with its keywords. The evaluation demonstrates both the accuracy and usefulness of our model and we implement a practical website for public use.
AB - Developers can use different technologies for many software development tasks in their work. However, when faced with several technologies with comparable functionalities, it is not easy for developers to select the most appropriate one, as comparisons among technologies are time-consuming by trial and error. Instead, developers can resort to expert articles, read official documents or ask questions in Q&A sites for technology comparison, but it is opportunistic to get a comprehensive comparison as online information is often fragmented or contradictory. To overcome these limitations, we propose the diffTech system that exploits the crowdsourced discussions from Stack Overflow, and assists technology comparison with an informative summary of different comparison aspects. We first build a large database of comparable software technologies by mining tags in Stack Overflow, and locate comparative sentences about comparable technologies with NLP methods. We further mine prominent comparison aspects by clustering similar comparative sentences and represent each cluster with its keywords. The evaluation demonstrates both the accuracy and usefulness of our model and we implement a practical website for public use.
KW - Differencing similar technology
KW - NLP
KW - Stack overflow
UR - http://www.scopus.com/inward/record.url?scp=85053699209&partnerID=8YFLogxK
U2 - 10.1145/3238147.3238208
DO - 10.1145/3238147.3238208
M3 - Conference contribution
AN - SCOPUS:85053699209
T3 - ASE 2018 - Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering
SP - 214
EP - 224
BT - ASE 2018 - Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering
A2 - Kastner, Christian
A2 - Huchard, Marianne
A2 - Fraser, Gordon
PB - Association for Computing Machinery, Inc
Y2 - 3 September 2018 through 7 September 2018
ER -