Software Bug Reports: Automatic Keyword and Sentence-Based Text Summarization Using Artificial Intelligence
Journal Title: International Journal of Innovative Research in Computer Science and Technology - Year 2022, Vol 10, Issue 6
Abstract
The purpose of text summarization is to quickly and accurately extract the most important data from papers. The proposed unsupervised method seeks to synthesise complete and informative bug reports (software artefacts). The suggested approach employs Rapid Auto- matic Keyword Extraction and the term frequency-inverse document frequency method to identify applicable keywords and phrases. During the sentence extraction procedure, fuzzy C-means clustering is used to prioritise sentences that have a high degree of membership in each cluster (beyond a predefined threshold). The selection of sentences is performed by a rule-engine. Information is extracted using keywords and sentences chosen by the clustering process, and the rules are developed using domain knowledge. The proposed method produces a logical and well-organized summary of apache bug reports. The retrieval summary is improved with the help of hierarchical clustering by removing unnecessary details and rearranging them. The Apache Project Bug Report Corpus (APBRC) and the original Bug Report Corpus are used to evaluate the effectiveness of the proposed method. Measures of performance such as precision, recall, pyramid precision, and F-score are used to evaluate the results. Experiment results demonstrate that our proposed method significantly outperforms the state-of-the-art baseline methods like BRC and LRCA. In addition, it achieves substantial gains compared to prior art unsupervised methods as Hurried and centroid. It extracts the most relevant keyword phrases and sentences from each cluster to offer comprehensive coverage and a coherent summary. The average values for precision, recall, f-score, and pyramid precision on the APBRC corpus are 78.22%, 82.18%, 80.10%, and 81.66%, respectively.
Authors and Affiliations
Zaid Altaf, and Ashish Oberoi
Keywords
Related Articles
- EP ID EP746018
- DOI 10.55524/ijircst.2022.10.6.18
- Views 73
- Downloads 0
Securing and Secrete Image Sharing Using Visual Cryptography Scheme
To verify identity of person his /her physical or behavioural characteristics can be use,this strategy is called as Biometrics. Preservation of privacy of digital biometric data such as iris,face images etc. which stored...
Determination of Relative Density of Sand with Refrence to Compaction Energy and Effect of Nanoslica on Mechanical Properties of Sandy Soil
Sands are typically compacted in the field using a variety of machinery, with the compaction energy varying greatly. The relative density is a better indicator for determining granular soil compaction. It can be more ben...
A Review of Image Compression Using Fractal Image Compression with Neural Network
Generally the fractal image compression is a new process in the images compression. It is a block based image compression technique, which detects and decodes the existing similarities between different regions in the im...
Wind Energy Analysis and Forecast using Machine Learning
Better prediction tools for future solar and wind power are crucial to reducing the requirement for controlling energy associated with the conventional power facilities. For optimal power grid integrating of highly varia...
A Review Study on Micro Grid with Distributed Energy Resources
Due to the financial, mechanical, and regular benefits of harmless to the ecosystem power-related DG units, a full relationship of the two kinds of microgrid systems is given. Considering the most recent investigation, t...