Title :
ETA: Estimated Time of Answer Predicting Response Time in Stack Overflow
Author :
Goderie, Jeffrey ; Georgsson, Brynjolfur Mar ; Van Graafeiland, Bastiaan ; Bacchelli, Alberto
Author_Institution :
Delft Univ. of Technol., Delft, Netherlands
Abstract :
Question and Answer (Q&A) sites help developers dealing with the increasing complexity of software systems and third-party components by providing a platform for exchanging knowledge about programming topics. A shortcoming of Q&A sites is that they provide no indication on when an answer is to be expected. Such an indication would help, for example, the developers who posed the questions in managing their time. We try to fill this gap by investigating whether and how answering time for a question posed on Stack Overflow, a prominent example of Q&A websites, can be predicted considering its tags. To this aim, we first determine the types of answers to be considered valid answers to the question, after which the answering time was predicted based on similarity of the set of tags. Our results show that the classification is correct in 30%-35% of the cases.
Keywords :
question answering (information retrieval); software metrics; Stack Overflow; question and answer sites; software system complexity; third-party components; Communities; Correlation; Prediction algorithms; Time factors; Time measurement; Training; response time; stack overflow;
Conference_Titel :
Mining Software Repositories (MSR), 2015 IEEE/ACM 12th Working Conference on
Conference_Location :
Florence
DOI :
10.1109/MSR.2015.52