A Novel Bug Report Extraction Approach
نویسندگان
چکیده
There are more and more bug reports in software. Software companies and developers invest a large number of resources into the dramatic accumulation of reports. We introduce Bayes classifier into bug reports compression, which is the first effort in the literature. For this purpose, the vector space model as well as some conventional text mining values, such as tf-idf and chi-squared test, are designed to collect features for bug reports. The experiment proves that bug reports extraction by using Bayes classifier is outperformance to the method based on SVM through the evaluation of ROC and F-score.
منابع مشابه
Allergic reactions and dermatitis to common bed bug bites: A case report from Ahvaz, Southwest Iran
---
متن کاملBug Classification: Feature Extraction and Comparison of Event Model using Naïve Bayes Approach
In software industries, individuals at different levels from customer to an engineer apply diverse mechanisms to detect to which class a particular bug should be allocated. Sometimes while a simple search in Internet might help, in many other cases a lot of effort is spent in analyzing the bug report to classify the bug. So there is a great need of a structured mining algorithm where given a cr...
متن کاملEn-LDA: An Novel Approach to Automatic Bug Report Assignment with Entropy Optimized Latent Dirichlet Allocation
With the increasing number of bug reports coming into the open bug repository, it is impossible to triage bug reports manually by software managers. This paper proposes a novel approach called En-LDA (Entropy optimized Latent Dirichlet Allocation (LDA)) for automatic bug report assignment. Specifically, we propose entropy to optimize the number of topics of the LDA model and further use the ent...
متن کاملBAHA: A Novel Approach to Automatic Bug Report Assignment with Topic Modeling and Heterogeneous Network Analysis∗
We propose an approach called Bug report assignment with topic modeling and heterogeneous network analysis (BAHA) to automatically assign bug reports to developers. Existing studies adopt social network analysis to characterize the collaboration of developers. The networks used in these studies are all homogenous. In real practice of bug resolution, different developers collaborate on different...
متن کاملDetermination of Amphetamine and Methamphetamine by Dispersive Liquid Phase Micro-extraction: A Novel Experimental Approach
Background: A syringe to syringe dispersive liquid phase micro-extraction-floating organic drop was applied and used for the simultaneous extraction and pre-concentration of trace amounts of amphetamine (AMP) and methamphetamine (MAMP) in urine samples. The extracted analytes were determined by high performance liquid chromatography along with diode array detection. Materials & Methods: In thi...
متن کامل