Search results for "fault-prone"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
104	Taghi M. Khoshgoftaar, Edward B. Allen, Lofton A. Bullard, Robert Halstead 0001, Gary P. Trio	A tree-based classification model for analysis of a military software system.	HASE	1996	DBLP DOI BibTeX RDF	tree based classification model, military software systems analysis, tactical military software, software function, military personnel, tree based modeling method, fault prone software modules, Joint Surveillance Target Attack Radar System, JSTPARS, large tactical military system, decision tree model, software product metrics, spiral life cycle, highly reliable final product, fault prone class, TREED-ISC algorithm, CHAID algorithm, independent variables, statistically significant relationships, military computing, fault prone modules, chi squared tests, mission critical
101	Osamu Mizuno, Tohru Kikuno	Training on errors experiment to detect fault-prone software modules by spam filter.	ESEC/SIGSOFT FSE	2007	DBLP DOI BibTeX RDF	text mining, spam filter, fault-prone modules
93	Hideaki Hata, Osamu Mizuno, Tohru Kikuno	An extension of fault-prone filtering using precise training and a dynamic threshold.	MSR	2008	DBLP DOI BibTeX RDF	text mining, spam filter, fault-prone modules
76	Taghi M. Khoshgoftaar, Edward B. Allen, Robert Halstead 0001, Gary P. Trio	Detection of Fault-Prone Software Modules During a Spiral Life Cycle.	ICSM	1996	DBLP DOI BibTeX RDF	spiral life cycle model, fault-prone software, classification, principal components analysis, software maintenance, software metrics, discriminant analysis
74	Catherine Stringfellow, Anneliese Amschler Andrews	Deriving a Fault Architecture to Guide Testing.	Softw. Qual. J.	2002	DBLP DOI BibTeX RDF	fault-architecture, software testing, fault-proneness
72	Osamu Mizuno, Shiro Ikami, Shuya Nakaichi, Tohru Kikuno	Fault-Prone Filtering: Detection of Fault-Prone Modules Using Spam Filtering Technique.	ESEM	2007	DBLP DOI BibTeX RDF
71	Niclas Ohlsson, Hans Alberg	Predicting Fault-Prone Software Modules in Telephone Switches.	IEEE Trans. Software Eng.	1996	DBLP DOI BibTeX RDF	Complexity, metrics, prediction, empirical study, software reliability, statistical analysis, software measurement, regression analysis, fault-prone modules
65	Taghi M. Khoshgoftaar, Edward B. Allen	The Impact of Costs of Misclassification on Software Quality Modeling.	IEEE METRICS	1997	DBLP DOI BibTeX RDF	misclassification, spiral life cycle, software reuse, software process, cost, discriminant analysis, fault-prone, software quality modeling
63	Norman E. Fenton, Niclas Ohlsson	Quantitative Analysis of Faults and Failures in a Complex Software System.	IEEE Trans. Software Eng.	2000	DBLP DOI BibTeX RDF	Software faults and failures, empirical studies, software metrics
52	Lucas Layman, Gunnar Kudrjavets, Nachiappan Nagappan	Iterative identification of fault-prone binaries using in-process metrics.	ESEM	2008	DBLP DOI BibTeX RDF	code churn, regression, statistical models, fault prediction
52	Yasutaka Kamei, Akito Monden, Shinsuke Matsumoto, Takeshi Kakimoto, Ken-ichi Matsumoto	The Effects of Over and Under Sampling on Fault-prone Module Detection.	ESEM	2007	DBLP DOI BibTeX RDF
52	Taghi M. Khoshgoftaar, Vishal Thaker, Edward B. Allen	Modeling Fault-Prone Modules of Subsystems.	ISSRE	2000	DBLP DOI BibTeX RDF	empirical study, software reliability, classification tree, CART, software quality models, fault-prone modules
52	John C. Munson, Taghi M. Khoshgoftaar	The Detection of Fault-Prone Programs.	IEEE Trans. Software Eng.	1992	DBLP DOI BibTeX RDF	fault-prone programs, principal-components procedure, simple multicollinear complexity metrics, uncorrelated measures, orthogonal complexity domains, group determination, large commercial systems, deliberately biased data, metric values, relatively low error rate, program modules, computational complexity, software metrics, software reliability, program testing, discriminant analysis, quality control, quality measure, statistical technique, linear regression models
46	Thomas J. Ostrand, Elaine J. Weyuker	The distirubtion of faults in a large industrial software system.	ISSTA	2002	DBLP DOI BibTeX RDF	software testing, empirical study, software faults, fault-prone, pareto
43	Thomas J. Ostrand, Elaine J. Weyuker, Robert M. Bell	Automating algorithms for the identification of fault-prone files.	ISSTA	2007	DBLP DOI BibTeX RDF	software testing, prediction, empirical study, software faults, regression model, fault-prone
43	Taghi M. Khoshgoftaar, Edward B. Allen	Ordering Fault-Prone Software Modules.	Softw. Qual. J.	2003	DBLP DOI BibTeX RDF	module-order model, software reliability, software quality models, fault-prone modules, multiple linear regression
43	Taghi M. Khoshgoftaar, Edward B. Allen	Predicting Fault-Prone Software Modules in Embedded Systems with Classification Trees.	HASE	1999	DBLP DOI BibTeX RDF	embedded systems, software metrics, software reliability, classification trees, CART, fault-prone modules, high assurance
43	Taghi M. Khoshgoftaar, Edward B. Allen	Classification of Fault-Prone Software Modules: Prior Probabilities, Costs, and Model Evaluation.	Empir. Softw. Eng.	1998	DBLP DOI BibTeX RDF	nonparametric discriminant analysis, misclassification, resubstitution, data splitting, cost, cross-validation, fault-prone, software quality modeling
43	Yasutaka Kamei, Akito Monden, Shuji Morisaki, Ken-ichi Matsumoto	A hybrid faulty module prediction using association rule mining and logistic regression analysis.	ESEM	2008	DBLP DOI BibTeX RDF	fault-prone module prediction, logistic regression analysis, empirical study, association rule mining
41	Qi Wang, Bo Yu, Jie Zhu	Extract Rules from Software Quality Prediction Model Based on Neural Network.	ICTAI	2004	DBLP DOI BibTeX RDF
40	Elaine J. Weyuker	Prediction = Power.	TestCom	2003	DBLP DOI BibTeX RDF	scalability, metrics, prediction, regression testing, risk, fault-prone, Architecture review
40	Taghi M. Khoshgoftaar, Edward B. Allen, Xiaojing Yuan, Wendell D. Jones, John P. Hudepohl	Assessing Uncertain Predictions of Software Quality.	IEEE METRICS	1999	DBLP DOI BibTeX RDF	TREEDISC, software quality, software metrics, classification trees, fault-prone modules
40	Taghi M. Khoshgoftaar, Edward B. Allen, Xiaojing Yuan, Wendell D. Jones, John P. Hudepohl	Experience Paper: Preparing Measurements of Legacy Software for Predicting Operational Faults.	ICSM	1999	DBLP DOI BibTeX RDF	TREEDISC, software quality, software metrics, telecommunications, classification trees, fault-prone modules
38	Ilia Rapoport, Yaakov Oshman	Weiss-Weinstein Lower Bounds for Markovian Systems. Part 2: Applications to Fault-Tolerant Filtering.	IEEE Trans. Signal Process.	2007	DBLP DOI BibTeX RDF
36	Hao Jia, Fengdi Shu, Ye Yang, Qing Wang 0001	Predicting Fault-Prone Modules: A Comparative Study.	SEAFOOD	2009	DBLP DOI BibTeX RDF
36	Yoshiki Higo, Kenji Murao, Shinji Kusumoto, Katsuro Inoue	Predicting fault-prone modules based on metrics transitions.	DEFECTS	2008	DBLP DOI BibTeX RDF
36	Stefan Wagner 0001, Jan Jürjens	Model-Based Identification of Fault-Prone Components.	EDCC	2005	DBLP DOI BibTeX RDF
36	Lan Guo, Bojan Cukic, Harshinder Singh	Predicting Fault Prone Modules by the Dempster-Shafer Belief Networks.	ASE	2003	DBLP DOI BibTeX RDF
36	Yuming Zhou, Hareton Leung	Empirical Analysis of Object-Oriented Design Metrics for Predicting High and Low Severity Faults.	IEEE Trans. Software Eng.	2006	DBLP DOI BibTeX RDF	Object-oriented, metrics, prediction, faults, cross validation, fault-proneness
36	Shi Zhong, Taghi M. Khoshgoftaar, Naeem Seliya	Unsupervised Learning for Expert-Based Software Quality Estimation.	HASE	2004	DBLP DOI BibTeX RDF
35	Taghi M. Khoshgoftaar, Edward B. Allen, Jason C. Busboom	Modeling software quality: the Software Measurement Analysis and Reliability Toolkit.	ICTAI	2000	DBLP DOI BibTeX RDF	Software Measurement Analysis and Reliability Toolkit, reliability enhancement activities, high risk modules, automated reasoning processes, CBR systems, CBR classification, module-order models, rank-order, military command control and communications, software developers, software tools, software quality, software metrics, software reliability, cluster analysis, case-based reasoning, case based reasoning, software performance evaluation, software product, life cycle, software quality modeling, software quality models, fault predictions, process metrics, SMART, fault prone modules, quality factor, classification models, command and control systems, research tool
33	Yogesh Singh, Arvinder Kaur, Ruchika Malhotra	Application of support vector machine to predict fault prone classes.	ACM SIGSOFT Softw. Eng. Notes	2009	DBLP DOI BibTeX RDF
33	Sunghun Kim 0001, Thomas Zimmermann 0001, E. James Whitehead Jr., Andreas Zeller	Predicting faults from cached history.	ISEC	2008	DBLP DOI BibTeX RDF	cache, locality, prediction, fault, bug
33	Sunghun Kim 0001, Thomas Zimmermann 0001, E. James Whitehead Jr., Andreas Zeller	Predicting Faults from Cached History.	ICSE	2007	DBLP DOI BibTeX RDF
33	Taghi M. Khoshgoftaar, Yi Liu 0023	A Multi-Objective Software Quality Classification Model Using Genetic Programming.	IEEE Trans. Reliab.	2007	DBLP DOI BibTeX RDF
33	Miguel E. R. Bezerra, Adriano L. I. Oliveira, Silvio R. L. Meira	A Constructive RBF Neural Network for Estimating the Probability of Defects in Software Modules.	IJCNN	2007	DBLP DOI BibTeX RDF
32	Taghi M. Khoshgoftaar, Edward B. Allen, Jianyu Deng	Controlling Overfitting in Software Quality Models: Experiments with Regression Trees and Classification.	IEEE METRICS	2001	DBLP DOI BibTeX RDF	classification, software maintenance, software metrics, software reliability, overfitting, regression trees, fault-prone modules, S-Plus
32	Taghi M. Khoshgoftaar, Ruqun Shan, Edward B. Allen	Improving Tree-Based Models of Software Quality with Principal Components Analysis.	ISSRE	2000	DBLP DOI BibTeX RDF	principal components analysis, software quality, software metrics, classification trees, fault-prone modules, S-Plus
32	Euyseok Hong, Chisu Wu	Criticality Models using SDL Metrics Set.	APSEC	1997	DBLP DOI BibTeX RDF	fault-prone entities, simulation, complexity, prediction model, SDL, design metrics
30	Yue Jiang 0001, Bojan Cukic, Tim Menzies	Cost Curve Evaluation of Fault Prediction Models.	ISSRE	2008	DBLP DOI BibTeX RDF
28	Ana Erika Camargo Cruz, Koichiro Ochimizu	Towards logistic regression models for predicting fault-prone code across software projects.	ESEM	2009	DBLP DOI BibTeX RDF
28	Osamu Mizuno, Shiro Ikami, Shuya Nakaichi, Tohru Kikuno	Spam Filter Based Approach for Finding Fault-Prone Software Modules.	MSR	2007	DBLP DOI BibTeX RDF
28	Mark Sherriff, Sarah Smith Heckman, Mike Lake, Laurie A. Williams	Identifying fault-prone files using static analysis alerts through singular value decomposition.	CASCON	2007	DBLP DOI BibTeX RDF
28	Gehan Weerasinghe, Imad Antonios, Lester Lipsky	A Generalized Analytic Performance Model of Distributed Systems that Perform N Tasks Using P Fault-Prone Processors.	IPDPS	2002	DBLP DOI BibTeX RDF	Performance Evaluation, Fault-Tolerance, Markov Chains, Networks of Workstations, Processor Failures
28	Per Runeson, Magnus C. Ohlsson, Claes Wohlin	A Classification Scheme for Studies on Fault-Prone Components.	PROFES	2001	DBLP DOI BibTeX RDF
25	Xiaojun Ma, Fabrizio Lombardi	Fault Tolerant Schemes for QCA Systems.	DFT	2008	DBLP DOI BibTeX RDF
25	Christoforos N. Hadjicostis, George C. Verghese	Coding approaches to fault tolerance in linear dynamic systems.	IEEE Trans. Inf. Theory	2005	DBLP DOI BibTeX RDF
25	Hideaki Hata, Osamu Mizuno, Tohru Kikuno	Comparative Study of Fault-Proneness Filtering with PMD.	ISSRE	2008	DBLP DOI BibTeX RDF
25	Ping Guo 0002, Michael R. Lyu	Software Quality Prediction Using Mixture Models with EM Algorithm.	APAQS	2000	DBLP DOI BibTeX RDF
24	Steve Counsell, Stephen Swift, Alessandro Murgia, Roberto Tonelli, Michele Marchesi, Giulio Concas	Are Some Refactorings Attached to Fault-Prone Classes and Others to Fault-Free Classes?	XP Workshops	2014	DBLP DOI BibTeX RDF
24	Ana Erika Camargo Cruz	Exploratory study of a UML metric for fault prediction.	ICSE (2)	2010	DBLP DOI BibTeX RDF	CK metrics, fault-prone code, fault-proneness prediction, UML, logistic regression
24	Bindu Goel, Yogesh Singh	Empirical Investigation of Metrics for Fault Prediction on Object-Oriented Software.	Computer and Information Science	2008	DBLP DOI BibTeX RDF	fault prone classes, OO metrics, software engineering, prediction models, logistic regression, linear regression
24	Elaine J. Weyuker	Software engineering research: from cradle to grave.	ESEC/SIGSOFT FSE	2007	DBLP DOI BibTeX RDF	software testing, prediction, empirical study, software faults, regression model, fault-prone
24	Robert M. Bell, Thomas J. Ostrand, Elaine J. Weyuker	Looking for bugs in all the right places.	ISSTA	2006	DBLP DOI BibTeX RDF	software testing, prediction, empirical study, software faults, regression model, fault-prone
24	Thomas J. Ostrand, Elaine J. Weyuker, Robert M. Bell	Predicting the Location and Number of Faults in Large Software Systems.	IEEE Trans. Software Eng.	2005	DBLP DOI BibTeX RDF	software testing, prediction, empirical study, Software faults, regression model, fault-prone
24	Thomas J. Ostrand, Elaine J. Weyuker, Robert M. Bell	Locating where faults will be.	Richard Tapia Celebration of Diversity in Computing Conference	2005	DBLP DOI BibTeX RDF	software testing, prediction, empirical study, software faults, regression model, fault-prone
24	Thomas J. Ostrand, Elaine J. Weyuker, Robert M. Bell	Where the bugs are.	ISSTA	2004	DBLP DOI BibTeX RDF	software testing, prediction, empirical study, software faults, regression model, fault-prone
24	Lionel C. Briand, Premkumar T. Devanbu, Walcélio L. Melo	An Investigation into Coupling Measures for C++.	ICSE	1997	DBLP DOI BibTeX RDF	C++ programming language, coupling on object-oriented design, prediction model of fault-prone components, C++
22	Hector M. Olague, Letha H. Etzkorn, Sampson Gholston, Stephen Quattlebaum	Empirical Validation of Three Software Metrics Suites to Predict Fault-Proneness of Object-Oriented Classes Developed Using Highly Iterative or Agile Software Development Processes.	IEEE Trans. Software Eng.	2007	DBLP DOI BibTeX RDF	Object-oriented software metrics, software quality metrics, software maintenance programming, software reuse, object-oriented metrics
20	Carlos Barroso-Fernández, Ernesto Jiménez, José Luis López-Presa, Marta Moreno-Cuesta, Ramon Xulvi-Brunet	Optimizing Gossiping for Asynchronous Fault-Prone IoT Networks With Memory and Battery Constraints.	IEEE Access	2024	DBLP DOI BibTeX RDF
20	Shinnosuke Irie, Hirohisa Aman, Sousuke Amasaki, Tomoyuki Yokogawa, Minoru Kawahara	A Comparative Study of Hybrid Fault-Prone Module Prediction Models Using Association Rule and Random Forest.	WSSE	2023	DBLP DOI BibTeX RDF
20	Yu Qiu, Junbin Liang, Victor C. M. Leung, Xu Wu, Xia Deng	Online Reliability-Enhanced Virtual Network Services Provisioning in Fault-Prone Mobile Edge Cloud.	IEEE Trans. Wirel. Commun.	2022	DBLP DOI BibTeX RDF
20	A. Balaram, S. Vasundra	Prediction of software fault-prone classes using ensemble random forest with adaptive synthetic sampling algorithm.	Autom. Softw. Eng.	2022	DBLP DOI BibTeX RDF
20	Chen Avin, Avi Cohen, Zvi Lotker, David Peleg	Hotelling games in fault-prone settings.	Theor. Comput. Sci.	2022	DBLP DOI BibTeX RDF
20	Aparna Pisolkar, Md Tajmilur Rahman	An Empirical Study of Predicting Fault-prone Components and their Evolution.	APSEC	2022	DBLP DOI BibTeX RDF
20	Mouna Abidi, Md. Saidur Rahman 0002, Moses Openja, Foutse Khomh	Are Multi-Language Design Smells Fault-Prone? An Empirical Study.	ACM Trans. Softw. Eng. Methodol.	2021	DBLP DOI BibTeX RDF
20	Mohammad Mushtaq Ahmed, Bura Santhi Kiran, Pododdi Harshavardhan Sai, Manjubala Bisi	Software Fault-Prone Module Classification Using Learning Automata based Deep Neural Network Model.	ICCCNT	2021	DBLP DOI BibTeX RDF
20	Hirohisa Aman, Sousuke Amasaki, Tomoyuki Yokogawa, Minoru Kawahara	Empirical study of abnormality in local variables and its application to fault-prone Java method analysis.	J. Softw. Evol. Process.	2020	DBLP DOI BibTeX RDF
20	Kokouvi Hounkanli, Avery Miller, Andrzej Pelc	Global Synchronization and Consensus Using Beeps in a Fault-Prone Multiple Access Channel.	Theor. Comput. Sci.	2020	DBLP DOI BibTeX RDF
20	Van Thi Bich Pham	Software metrics for predicting fault-prone elements of a system at the design stage.		2020	RDF
20	C. Viji, N. Rajkumar, S. Duraisamy	Prediction of software fault-prone classes using an unsupervised hybrid SOM algorithm.	Clust. Comput.	2019	DBLP DOI BibTeX RDF
20	Alexandre Ouellet, Mourad Badri	Empirical Analysis of Object-Oriented Metrics and Centrality Measures for Predicting Fault-Prone Classes in Object-Oriented Software.	QUATIC	2019	DBLP DOI BibTeX RDF
20	Marek Pawlicki, Agata Gielczyk, Rafal Kozik, Michal Choras	Fault-Prone Software Classes Recognition via Artificial Neural Network with Granular Dataset Balancing.	CORES	2019	DBLP DOI BibTeX RDF
20	Subhashis Chatterjee, Bappa Maji	A Mahalanobis distance based algorithm for assigning rank to the predicted fault prone software modules.	Appl. Soft Comput.	2018	DBLP DOI BibTeX RDF
20	Antonio Fernández Anta, Chryssis Georgiou, Dariusz R. Kowalski, Elli Zavou	Competitive analysis of fundamental scheduling algorithms on a fault-prone machine and the impact of resource augmentation.	Future Gener. Comput. Syst.	2018	DBLP DOI BibTeX RDF
20	Keiichiro Tashima, Hirohisa Aman, Sousuke Amasaki, Tomoyuki Yokogawa, Minoru Kawahara	Fault-Prone Java Method Analysis Focusing on Pair of Local Variables with Confusing Names.	SEAA	2018	DBLP DOI BibTeX RDF
20	Chun Yong Chong, Sai Peck Lee	Can Commit Change History Reveal Potential Fault Prone Classes? A Study on GitHub Repositories.	ICSOFT (Selected Papers)	2018	DBLP DOI BibTeX RDF
20	Chun Yong Chong, Sai Peck Lee	A Commit Change-based Weighted Complex Network Approach to Identify Potential Fault Prone Classes.	ICSOFT	2018	DBLP DOI BibTeX RDF
20	Kazuki Yamauchi, Hirohisa Aman, Sousuke Amasaki, Tomoyuki Yokogawa, Minoru Kawahara	Fault-Prone Source File Analysis Focusing on the Contribution Entropy in Open Source Development.	BCD	2018	DBLP DOI BibTeX RDF
20	Kunyin Guo, Ke Yu, Dan Yang, Lei Wu, Yuandou Wang	Performance Estimation of Fault-prone Infrastructure-as-a-Service Cloud Computing Systems and their Cost-aware Optimal Performance Determination.	Mob. Networks Appl.	2017	DBLP DOI BibTeX RDF
20	Wanbo Zheng, Yuandou Wang, Yunni Xia, Quanwang Wu, Lei Wu, Kunyin Guo, Weiling Li, Xin Luo 0001, Qingsheng Zhu	On dynamic performance estimation of fault-prone Infrastructure-as-a-Service clouds.	Int. J. Distributed Sens. Networks	2017	DBLP DOI BibTeX RDF
20	Rebecca Moussa, Danielle Azar	A PSO-GA approach targeting fault-prone software modules.	J. Syst. Softw.	2017	DBLP DOI BibTeX RDF
20	Bassey Isong	Enhancing Software Maintenance via Early Prediction of Fault-Prone Object-Oriented Classes.	Int. J. Softw. Eng. Knowl. Eng.	2017	DBLP DOI BibTeX RDF
20	Sho Suzuki, Hirohisa Aman, Minoru Kawahara	Empirical Study of Fault-Prone Method's Name and Implementation: Analysis on Three Prefixes-Get, Set and Be.	ACIT/CSII/BCD	2017	DBLP DOI BibTeX RDF
20	Alexandre Boucher, Mourad Badri	Predicting Fault-Prone Classes in Object-Oriented Software: An Adaptation of an Unsupervised Hybrid SOM Algorithm.	QRS	2017	DBLP DOI BibTeX RDF
20	Alexandre Boucher, Mourad Badri	Using Software Metrics Thresholds to Predict Fault-Prone Classes in Object-Oriented Software.	ACIT/CSII/BCD	2017	DBLP DOI BibTeX RDF
20	Elli Zavou, Antonio Fernández Anta	Online Distributed Scheduling on a Fault-prone Parallel System.	CoRR	2016	DBLP BibTeX RDF
20	Elaine J. Weyuker, Thomas J. Ostrand	Identifying fault-prone files in large industrial software systems.	Perspectives on Data Science for Software Engineering	2016	DBLP DOI BibTeX RDF
20	Hirohisa Aman, Sousuke Amasaki, Tomoyuki Yokogawa, Minoru Kawahara	Local Variables with Compound Names and Comments as Signs of Fault-Prone Java Methods.	QuASoQ/TDA@APSEC	2016	DBLP BibTeX RDF
20	Shahid Hussain 0001, Jacky W. Keung, Arif Ali Khan, Kwabena Ebo Bennin	Detection of Fault-Prone Classes Using Logistic Regression Based Object-Oriented Metrics Thresholds.	QRS Companion	2016	DBLP DOI BibTeX RDF
20	Masateru Tsunoda, Yasutaka Kamei, Atsushi Sawada	Assessing the Differences of Clone Detection Methods Used in the Fault-Prone Module Prediction.	IWSC@SANER	2016	DBLP DOI BibTeX RDF
20	Satwinder Singh, Rozy Singla	Comparative Performance of Fault-Prone Prediction Classes with K-means Clustering and MLP.	ICTCS	2016	DBLP DOI BibTeX RDF
20	Kokouvi Hounkanli, Avery Miller, Andrzej Pelc	Global Synchronization and Consensus Using Beeps in a Fault-Prone MAC.	ALGOSENSORS	2016	DBLP DOI BibTeX RDF
20	Osamu Mizuno, Naoki Kawashima, Kimiaki Kawamoto	Fault-Prone Module Prediction Approaches Using Identifiers in Source Code.	Int. J. Softw. Innov.	2015	DBLP DOI BibTeX RDF
20	D. Jeya Mala, A. Jalila	Impact of Fault-Prone Components on Effective Software Testing: An Industrial Survey.	Int. J. Syst. Serv. Oriented Eng.	2015	DBLP DOI BibTeX RDF
20	Kokouvi Hounkanli, Avery Miller, Andrzej Pelc	Global Synchronization and Consensus Using Beeps in a Fault-Prone MAC.	CoRR	2015	DBLP BibTeX RDF
20	So Yeon Kim, Sungdo Gu, Hyun-hwan Jeong, Kyung-Ah Sohn	A Network Clustering Based Software Attribute Selection for Identifying Fault-Prone Modules.	ICITCS	2015	DBLP DOI BibTeX RDF
20	Keita Mori, Osamu Mizuno	An Implementation of Just-in-Time Fault-Prone Prediction Technique Using Text Classifier.	COMPSAC Workshops	2015	DBLP DOI BibTeX RDF
20	Keiichi Tabata, Haruto Tanno, Morihide Oinuma	Helping testers by fault-prone functionality prediction.	APSITT	2015	DBLP DOI BibTeX RDF
20	Tsuyoshi Fujiwara, Osamu Mizuno, Pattara Leelaprute	Fault-Prone Byte-Code Detection Using Text Classifier.	PROFES	2015	DBLP DOI BibTeX RDF