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2019 AAAI AAAI 2019

DeBGUer: A Tool for Bug Prediction and Diagnosis

Abstract

Abstract In this paper, we present the DeBGUer tool, a web-based tool for prediction and isolation of software bugs. DeBGUer is a partial implementation of the Learn, Diagnose, and Plan (LDP) paradigm, which is a recently introduced paradigm for integrating Artificial Intelligence (AI) in the software bug detection and correction process. In LDP, a diagnosis (DX) algorithm is used to suggest possible explanations – diagnoses – for an observed bug. If needed, a test planning algorithm is subsequently used to suggest further testing. Both diagnosis and test planning algorithms consider a fault prediction model, which associates each software component (e.g., class or method) with the likelihood that it contains a bug. DeBGUer implements the first two components of LDP, bug prediction (Learn) and bug diagnosis (Diagnose). It provides an easy-to-use web interface, and has been successfully tested on 12 projects.

🚀 Conference Pioneer — AAAI 2019
🌉 Interdisciplinary Bridge — Artificial Intelligence and Computer Science and Machine Learning
📈 Trend Setter — Knowledge Editing
🧭 Keyword Pioneer — bug prediction
🐣 Hot Topic Early Bird — software engineering
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio

Authors

Amir Elmishali , Roni Stern , Meir Kalech

Topics

Artificial Intelligence > Core AI > Agent Systems Machine Learning > Core Methods > Classification Computer Science > Applications > Software Engineering Artificial Intelligence > Core AI > Knowledge Editing Machine Learning > Application Areas > Classification Artificial Intelligence > Core AI > Knowledge

Keywords

model-based diagnosis fault diagnosis machine learning software debugging software engineering software testing bug prediction diagnosis algorithm test planning bug diagnosis fault prediction model
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