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  1. Proceedings of the 3rd International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering (RAISE 2014)
  2. A mapping study on bayesian networks for software quality prediction
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Towards more intelligent trace retrieval algorithms
A mapping study on bayesian networks for software quality prediction
SANAYOJAN: a framework for traceability link recovery between use-cases in software requirement specification and regulatory documents
Supporting comprehension of unfamiliar programs by modeling an expert's perception
Machine learning for constituency test of coordinating conjunctions in requirements specifications
OCL usability: a major challenge in adopting UML
A self-learning approach for validation of communication in embedded systems
Deriving time lines from texts
Mining issue tracking systems using topic models for trend analysis, corpus exploration, and understanding evolution

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A mapping study on bayesian networks for software quality prediction

Content Provider ACM Digital Library
Author Misirli, Ayse Tosun Bener, Ayşe Başar
Abstract Bayesian Networks (BN) have been used for decision making in software engineering for many years. We investigate the current status of BNs in predicting software quality in three aspects: 1) techniques used for parameter learning, 2) techniques used for structure learning, and 3) type of variables that represent BN nodes. We performed a systematic mapping study on 38 primary studies that employed BNs to predict software quality. The most popular technique for building the final structure of BNs is the use of expert knowledge with different inference algorithms. Variables in BNs are treated as categorical in more than 70% of studies. Compared to other domains, the usage of BNs is still very limited due to high dependency on expert knowledge and tools. .
Starting Page 7
Ending Page 11
Page Count 5
File Format PDF
ISBN 9781450328463
DOI 10.1145/2593801.2593803
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2014-06-03
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Software defect prediction Systematic mapping Applications of bayesian networks
Content Type Text
Resource Type Article
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