Search results for "fault-proneness"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
178	Pierfrancesco Bellini, Ivan Bruno, Paolo Nesi, Davide Rogai	Comparing Fault-Proneness Estimation Models.	ICECCS	2005	DBLP DOI BibTeX RDF	fault-proneness estimation, fault-proneness prediction, maintenance, cross validation, empirical validation
118	Fabiano Cutigi Ferrari, Rachel Burrows, Otávio Augusto Lazzarini Lemos, Alessandro Garcia 0001, Eduardo Figueiredo 0001, Nélio Cacho, Frederico Lopes, Nathalia Temudo, Liana Silva, Sérgio Soares, Awais Rashid, Paulo César Masiero, Thaís Vasconcelos Batista, José Carlos Maldonado	An exploratory study of fault-proneness in evolving aspect-oriented programs.	ICSE (1)	2010	DBLP DOI BibTeX RDF	software testing, aspect-oriented programming, fault-proneness
118	Giovanni Denaro, Sandro Morasca, Mauro Pezzè	Deriving models of software fault-proneness.	SEKE	2002	DBLP DOI BibTeX RDF	fault-proneness models, software faultiness, software metrics, logistic regression, cross-validation, software testing process
108	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
91	Naeem Seliya, Taghi M. Khoshgoftaar, Shi Zhong	Analyzing Software Quality with Limited Fault-Proneness Defect Data.	HASE	2005	DBLP DOI BibTeX RDF	software quality, k-means, software measurements, software faults, semi-supervised clustering
84	Giovanni Denaro, Mauro Pezzè	An empirical evaluation of fault-proneness models.	ICSE	2002	DBLP DOI BibTeX RDF	fault-proneness models, software faultiness, principal component analysis, software metrics, software process, logistic regression, cross-validation, testing process
84	Shi Zhong, Taghi M. Khoshgoftaar, Naeem Seliya	Analyzing Software Measurement Data with Clustering Techniques.	IEEE Intell. Syst.	2004	DBLP DOI BibTeX RDF	software quality estimation, clustering, exploratory data analysis, noise detection
82	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
80	Hideaki Hata, Osamu Mizuno, Tohru Kikuno	Comparative Study of Fault-Proneness Filtering with PMD.	ISSRE	2008	DBLP DOI BibTeX RDF
80	Lionel C. Briand, Walcélio L. Melo, Jürgen Wüst	Assessing the Applicability of Fault-Proneness Models Across Object-Oriented Software Projects.	IEEE Trans. Software Eng.	2002	DBLP DOI BibTeX RDF	measures, Object-oriented, metrics, cross-validation, empirical validation
78	Ganesh J. Pai, Joanne Bechta Dugan	Empirical Analysis of Software Fault Content and Fault Proneness Using Bayesian Methods.	IEEE Trans. Software Eng.	2007	DBLP DOI BibTeX RDF	object-oriented, metrics, Bayesian networks, software quality, regression, defects, Bayesian analysis, fault proneness
77	Tibor Gyimóthy, Rudolf Ferenc, István Siket	Empirical Validation of Object-Oriented Metrics on Open Source Software for Fault Prediction.	IEEE Trans. Software Eng.	2005	DBLP DOI BibTeX RDF	metrics validation, fault-proneness detection, Bugzilla, compiler wrapping, reverse engineering, C++, open source software, Mozilla, Fact extraction, Columbus
77	Yogesh Singh, Arvinder Kaur, Ruchika Malhotra	Predicting Software Fault Proneness Model Using Neural Network.	PROFES	2008	DBLP DOI BibTeX RDF	metrics, artificial neural network, software quality, empirical validation
77	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
77	Toshihiro Kamiya, Shinji Kusumoto, Katsuro Inoue	Prediction of Fault-proneness at Early Phase in Object-Oriented Development.	ISORC	1999	DBLP DOI BibTeX RDF
75	Naeem Seliya, Taghi M. Khoshgoftaar	Software quality estimation with limited fault data: a semi-supervised learning perspective.	Softw. Qual. J.	2007	DBLP DOI BibTeX RDF	Software quality estimation, Software metrics, Semi-supervised learning, Expectation maximization, Unlabeled data
73	Piotr Tomaszewski, Lars-Ola Damm	Comparing the fault-proneness of new and modified code: an industrial case study.	ISESE	2006	DBLP DOI BibTeX RDF	modified code, fault-proneness, fault prediction
60	Rudolf Ferenc, István Siket, Tibor Gyimóthy	Extracting Facts from Open Source Software.	ICSM	2004	DBLP DOI BibTeX RDF	fault-proneness detection, compiler wrapping, CANPP, reverse engineering, C++, metrics, C, open source, schema, CAN, Mozilla, Fact extraction, Columbus
58	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
57	Shinsuke Matsumoto, Yasutaka Kamei, Akito Monden, Ken-ichi Matsumoto	Comparison of Outlier Detection Methods in Fault-proneness Models.	ESEM	2007	DBLP DOI BibTeX RDF
57	Ping Yu, Tarja Systä, Hausi A. Müller	Predicting Fault-Proneness using OO Metrics: An Industrial Case Study.	CSMR	2002	DBLP DOI BibTeX RDF
53	Khaled El Emam, Saïda Benlarbi, Nishith Goel, Shesh N. Rai	The Confounding Effect of Class Size on the Validity of Object-Oriented Metrics.	IEEE Trans. Software Eng.	2001	DBLP DOI BibTeX RDF	metrics validation, object-oriented quality, inheritance metrics, cohesion metrics, software quality, Object-oriented metrics, coupling metrics, validation methodology
47	Sebastian G. Elbaum, Alexey G. Malishevsky, Gregg Rothermel	Test Case Prioritization: A Family of Empirical Studies.	IEEE Trans. Software Eng.	2002	DBLP DOI BibTeX RDF	empirical studies, regression testing, Test case prioritization
46	Andre B. de Carvalho, Aurora T. R. Pozo, Silvia Regina Vergilio, Alexandre Lenz	Predicting Fault Proneness of Classes Trough a Multiobjective Particle Swarm Optimization Algorithm.	ICTAI (2)	2008	DBLP DOI BibTeX RDF
45	Erik Arisholm, Lionel C. Briand, Audun Føyen	Dynamic Coupling Measurement for Object-Oriented Software.	IEEE Trans. Software Eng.	2004	DBLP DOI BibTeX RDF
43	Md. Masudur Rahman 0005, Toukir Ahammed, Kazi Sakib	Do Internal Software Metrics Have Relationship with Fault-proneness and Change-proneness?	CoRR	2023	DBLP DOI BibTeX RDF
36	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
36	Erik Arisholm, Lionel C. Briand	Predicting fault-prone components in a java legacy system.	ISESE	2006	DBLP DOI BibTeX RDF
33	Nachiappan Nagappan	Toward a Software Testing and Reliability Early Warning Metric Suite.	ICSE	2004	DBLP DOI BibTeX RDF	software testing, software metrics, Software reliability, software processes, empirical software engineering
31	Erik Arisholm	Dynamic Coupling Measures for Object-Oriented Software.	IEEE METRICS	2002	DBLP DOI BibTeX RDF
31	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
31	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
29	Md. Alamgir Kabir, M. M. Manjurul Islam, S. M. Hasan Mahmud, Md. Fazla Elahe	Spectrum Impact Analysis of Fault Proneness Statement for Improved Fault Localization.	ICCA	2022	DBLP DOI BibTeX RDF
29	Farid Feyzi, Saeed Parsa	FPA-FL: Incorporating static fault-proneness analysis into statistical fault localization.	J. Syst. Softw.	2018	DBLP DOI BibTeX RDF
29	Jehad Al Dallal, Sandro Morasca	Investigating the impact of fault data completeness over time on predicting class fault-proneness.	Inf. Softw. Technol.	2018	DBLP DOI BibTeX RDF
29	Farid Feyzi, Saeed Parsa	FPA-FL: Incorporating Static Fault-proneness Analysis into Statistical Fault Localization.	CoRR	2017	DBLP BibTeX RDF
29	Farid Feyzi, Esmaeel Nikravan, Saeed Parsa	FPA-Debug: Effective Statistical Fault Localization Considering Fault-proneness Analysis.	CoRR	2016	DBLP BibTeX RDF
28	Allen P. Nikora, John C. Munson	Understanding the Nature of Software Evolution.	ICSM	2003	DBLP DOI BibTeX RDF
27	Rachel Burrows, François Taïani, Alessandro Garcia 0001, Fabiano Cutigi Ferrari	Reasoning about Faults in Aspect-Oriented Programs: A Metrics-Based Evaluation.	ICPC	2011	DBLP DOI BibTeX RDF	Aspect-Oriented Programming, Software Metrics, Fault-proneness
27	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
27	Nachiappan Nagappan, Thomas Ball	Static analysis tools as early indicators of pre-release defect density.	ICSE	2005	DBLP DOI BibTeX RDF	statistical methods, fault-proneness, defect density, static analysis tools
27	Nachiappan Nagappan, Thomas Ball	Use of relative code churn measures to predict system defect density.	ICSE	2005	DBLP DOI BibTeX RDF	relative code churn, principal component analysis, multiple regression, fault-proneness, defect density
27	Anneliese Amschler Andrews, Catherine Stringfellow	Quantitative Analysis of Development Defects to Guide Testing: A Case Study.	Softw. Qual. J.	2001	DBLP DOI BibTeX RDF	software test effectiveness, fault-proneness, defect analysis
25	Yue Jiang 0001, Bojan Cukic, Yan Ma	Techniques for evaluating fault prediction models.	Empir. Softw. Eng.	2008	DBLP DOI BibTeX RDF	Fault-prediction models, Predictive models in software engineering, Empirical studies, Model evaluation
25	Piotr Tomaszewski, Jim Håkansson, Lars Lundberg, Håkan Grahn	The Accuracy of Fault Prediction in Modified Code - Statistical Model vs. Expert Estimation.	ECBS	2006	DBLP DOI BibTeX RDF
25	Sebastian G. Elbaum, Alexey G. Malishevsky, Gregg Rothermel	Prioritizing test cases for regression testing.	ISSTA	2000	DBLP DOI BibTeX RDF
24	Md. Masudur Rahman 0005, Toukir Ahammed, Md. Mahbubul Alam Joarder, Kazi Sakib	Does Code Smell Frequency Have a Relationship with Fault-proneness?	CoRR	2023	DBLP DOI BibTeX RDF
24	Francesco Altiero, Anna Corazza, Sergio Di Martino, Adriano Peron, Luigi L. L. Starace	AI-based Fault-proneness Metrics for Source Code Changes.	IWSM-Mensura	2023	DBLP BibTeX RDF
24	Md. Masudur Rahman 0005, Toukir Ahammed, Md. Mahbubul Alam Joarder, Kazi Sakib	Does Code Smell Frequency Have a Relationship with Fault-proneness?	EASE	2023	DBLP DOI BibTeX RDF
24	Mostafa Mahdieh, Seyed-Hassan Mirian-Hosseinabadi, Mohsen Mahdieh	Test case prioritization using test case diversification and fault-proneness estimations.	Autom. Softw. Eng.	2022	DBLP DOI BibTeX RDF
24	Mohammad Jamil Ahmad, Katerina Goseva-Popstojanova, Robyn R. Lutz	The Untold Impact of Learning Approaches on Software Fault-Proneness Predictions.	CoRR	2022	DBLP DOI BibTeX RDF
24	Dalila Amara, Latifa Ben Arfa Rabai	Classification Techniques Use to Empirically Validate Redundancy Metrics as Reliability Indicators based on Fault-proneness Attribute.	ENASE	2022	DBLP DOI BibTeX RDF
24	Dalila Amara, Latifa Ben Arfa Rabai	Empirical Validation of Entropy-Based Redundancy Metrics as Reliability Indicators Using Fault-Proneness Attribute and Complexity Metrics.	ENASE (Selected Papers)	2022	DBLP DOI BibTeX RDF
24	Aurel Ikama, Vincent Du, Philippe Belias, Biruk Asmare Muse, Foutse Khomh, Mohammad Hamdaqa	Revisiting the Impact of Anti-patterns on Fault-Proneness: A Differentiated Replication.	SCAM	2022	DBLP DOI BibTeX RDF
24	Zeinab Azadeh Kermansaravi, Md. Saidur Rahman 0002, Foutse Khomh, Fehmi Jaafar, Yann-Gaël Guéhéneuc	Investigating design anti-pattern and design pattern mutations and their change- and fault-proneness.	Empir. Softw. Eng.	2021	DBLP DOI BibTeX RDF
24	Shou-Yu Lee, W. Eric Wong, Yihao Li, William Cheng-Chung Chu	Software Fault-Proneness Analysis based on Composite Developer-Module Networks.	IEEE Access	2021	DBLP DOI BibTeX RDF
24	Mostafa Mahdieh, Seyed-Hassan Mirian-Hosseinabadi, Mohsen Mahdieh	Test case prioritization using test case diversification and fault-proneness estimations.	CoRR	2021	DBLP BibTeX RDF
24	Zeinab Azadeh Kermansaravi, Md. Saidur Rahman 0002, Foutse Khomh, Fehmi Jaafar, Yann-Gaël Guéhéneuc	Investigating Design Anti-pattern and Design Pattern Mutations and Their Change- and Fault-proneness.	CoRR	2021	DBLP BibTeX RDF
24	Aarti, Geeta Sikka, Renu Dhir	Grey relational classification algorithm for software fault proneness with SOM clustering.	Int. J. Data Min. Model. Manag.	2020	DBLP DOI BibTeX RDF
24	Golnoush Abaei, Ali Selamat, Jehad Al Dallal	A fuzzy logic expert system to predict module fault proneness using unlabeled data.	J. King Saud Univ. Comput. Inf. Sci.	2020	DBLP DOI BibTeX RDF
24	Mostafa Mahdieh, Seyed-Hassan Mirian-Hosseinabadi, Khashayar Etemadi, Ali Nosrati, Sajad Jalali	Incorporating fault-proneness estimations into coverage-based test case prioritization methods.	Inf. Softw. Technol.	2020	DBLP DOI BibTeX RDF
24	Jehad Al Dallal	Categorisation-based approach for predicting the fault-proneness of object-oriented classes in software post-releases.	IET Softw.	2020	DBLP DOI BibTeX RDF
24	Abdallah Qusef, Mahmoud O. Elish, Dave W. Binkley	An Exploratory Study of the Relationship Between Software Test Smells and Fault-Proneness.	IEEE Access	2019	DBLP DOI BibTeX RDF
24	Yihao Li, W. Eric Wong, Shou-Yu Lee, Franz Wotawa	Using Tri-Relation Networks for Effective Software Fault-Proneness Prediction.	IEEE Access	2019	DBLP DOI BibTeX RDF
24	Valentina Lenarduzzi, Francesco Lomio, Davide Taibi 0001, Heikki Huttunen	On the Fault Proneness of SonarQube Technical Debt Violations: A comparison of eight Machine Learning Techniques.	CoRR	2019	DBLP BibTeX RDF
24	Mostafa Mahdieh, Seyed-Hassan Mirian-Hosseinabadi, Khashayar Etemadi, Ali Nosrati, Sajad Jalali	Incorporating fault-proneness estimations into coverage-based test case prioritization methods.	CoRR	2019	DBLP BibTeX RDF
24	Rudra Kumar Madapuri, P. C. Senthil Mahesh	HBS-CRA: scaling impact of change request towards fault proneness: defining a heuristic and biases scale (HBS) of change request artifacts (CRA).	Clust. Comput.	2019	DBLP DOI BibTeX RDF
24	Katerina Goseva-Popstojanova, Mohammad Jamil Ahmad, Yasser Ali Alshehri	Software Fault Proneness Prediction with Group Lasso Regression: On Factors that Affect Classification Performance.	COMPSAC (2)	2019	DBLP DOI BibTeX RDF
24	Kazuhiko Ogawa, Takako Nakatani	Predicting Fault Proneness of Programs with CNN.	ICAART (1)	2019	DBLP DOI BibTeX RDF
24	Luigi Lavazza, Sandro Morasca	Dealing with Uncertainty in Binary Logistic Regression Fault-proneness Models.	EASE	2019	DBLP DOI BibTeX RDF
24	Jehad Al Dallal	Predicting Object-Oriented Class Fault-Proneness: A Replication Study.	J. Softw.	2018	DBLP DOI BibTeX RDF
24	Liliane Barbour, Le An, Foutse Khomh, Ying Zou 0001, Shaohua Wang 0002	An investigation of the fault-proneness of clone evolutionary patterns.	Softw. Qual. J.	2018	DBLP DOI BibTeX RDF
24	Alexandre Boucher, Mourad Badri	Software metrics thresholds calculation techniques to predict fault-proneness: An empirical comparison.	Inf. Softw. Technol.	2018	DBLP DOI BibTeX RDF
24	D. Jeya Mala	Investigating the Effect of Sensitivity and Severity Analysis on Fault Proneness in Open Source Software.	Int. J. Open Source Softw. Process.	2017	DBLP DOI BibTeX RDF
24	Yangyang Zhao, Yibiao Yang, Hongmin Lu, Jinping Liu, Hareton Leung, Yansong Wu, Yuming Zhou, Baowen Xu	Understanding the value of considering client usage context in package cohesion for fault-proneness prediction.	Autom. Softw. Eng.	2017	DBLP DOI BibTeX RDF
24	Lov Kumar, Santanu Kumar Rath, Ashish Sureka	Using Source Code Metrics and Ensemble Methods for Fault Proneness Prediction.	CoRR	2017	DBLP BibTeX RDF
24	Mohammed Akour, Izzat Alsmadi, Iyad Alazzam	Software fault proneness prediction: a comparative study between bagging, boosting, and stacking ensemble and base learner methods.	Int. J. Data Anal. Tech. Strateg.	2017	DBLP DOI BibTeX RDF
24	Latifa Guerrouj, Zeinab Azadeh Kermansaravi, Venera Arnaoudova, Benjamin C. M. Fung, Foutse Khomh, Giuliano Antoniol, Yann-Gaël Guéhéneuc	Investigating the relation between lexical smells and change- and fault-proneness: an empirical study.	Softw. Qual. J.	2017	DBLP DOI BibTeX RDF
24	Fei Wang, Jun Ai, Jiaming Wang	Empirical Study on the Correlation Between Software Structural Modifications and Its Fault-Proneness.	QRS Companion	2017	DBLP DOI BibTeX RDF
24	Biljana Stanic, Wasif Afzal	Process Metrics Are Not Bad Predictors of Fault Proneness.	QRS Companion	2017	DBLP DOI BibTeX RDF
24	John Businge, Simon Kawuma, Engineer Bainomugisha, Foutse Khomh, Evarist Nabaasa	Code Authorship and Fault-proneness of Open-Source Android Applications: An Empirical Study.	PROMISE	2017	DBLP DOI BibTeX RDF
24	Bassey Isong, Obeten O. Ekabua	State-Of-The-Art In Empirical Validation Of Software Metrics For Fault Proneness Prediction: Systematic Review.	CoRR	2016	DBLP BibTeX RDF
24	Wanwangying Ma, Lin Chen 0015, Yibiao Yang, Yuming Zhou, Baowen Xu	Empirical analysis of network measures for effort-aware fault-proneness prediction.	Inf. Softw. Technol.	2016	DBLP DOI BibTeX RDF
24	Bassey Isong, Ifeoma U. Ohaeri, Munienge Mbodila	Supplementing Object-Oriented software change impact analysis with fault-proneness prediction.	ICIS	2016	DBLP DOI BibTeX RDF
24	Yibiao Yang, Mark Harman, Jens Krinke, Syed S. Islam, David W. Binkley, Yuming Zhou, Baowen Xu	An empirical study on dependence clusters for effort-aware fault-proneness prediction.	ASE	2016	DBLP DOI BibTeX RDF
24	Markus Zeindl, Markus Seitz, Christian Facchi	Correlation of change size to fault-proneness: A real life case study.	AICCSA	2016	DBLP DOI BibTeX RDF
24	Sandro Morasca, Luigi Lavazza	Slope-based fault-proneness thresholds for software engineering measures.	EASE	2016	DBLP DOI BibTeX RDF
24	Hirohisa Aman, Sousuke Amasaki, Takashi Sasaki, Minoru Kawahara	Lines of Comments as a Noteworthy Metric for Analyzing Fault-Proneness in Methods.	IEICE Trans. Inf. Syst.	2015	DBLP DOI BibTeX RDF
24	Yibiao Yang, Yuming Zhou, Hongmin Lu, Lin Chen 0015, Zhenyu Chen 0001, Baowen Xu, Hareton K. N. Leung, Zhenyu Zhang 0004	Are Slice-Based Cohesion Metrics Actually Useful in Effort-Aware Post-Release Fault-Proneness Prediction? An Empirical Study.	IEEE Trans. Software Eng.	2015	DBLP DOI BibTeX RDF
24	Gabriele Bavota, Mario Linares Vásquez, Carlos Eduardo Bernal-Cárdenas, Massimiliano Di Penta, Rocco Oliveto, Denys Poshyvanyk	The Impact of API Change- and Fault-Proneness on the User Ratings of Android Apps.	IEEE Trans. Software Eng.	2015	DBLP DOI BibTeX RDF
24	Rudra Kumar M, A. Ananda Rao	Assessing the Fault Proneness Degree (DFP) by Estimating the Impact of Change Request Artifacts Correlation.	CoRR	2015	DBLP BibTeX RDF
24	Cong Jin, Shu-Wei Jin	Prediction approach of software fault-proneness based on hybrid artificial neural network and quantum particle swarm optimization.	Appl. Soft Comput.	2015	DBLP DOI BibTeX RDF
24	Yangyang Zhao, Yibiao Yang, Hongmin Lu, Yuming Zhou, Qinbao Song, Baowen Xu	An empirical analysis of package-modularization metrics: Implications for software fault-proneness.	Inf. Softw. Technol.	2015	DBLP DOI BibTeX RDF
24	Matt Gatrell, Steve Counsell	The effect of refactoring on change and fault-proneness in commercial C# software.	Sci. Comput. Program.	2015	DBLP DOI BibTeX RDF
24	Shou-Yu Lee, Yihao Li	DRS: A Developer Risk Metric for Better Predicting Software Fault-Proneness.	TSA	2015	DBLP DOI BibTeX RDF
24	Renqing Li, Shihai Wang	An Empirical Study for Software Fault-Proneness Prediction with Ensemble Learning Models on Imbalanced Data Sets.	J. Softw.	2014	DBLP DOI BibTeX RDF
24	Yogesh Singh, Arvinder Kaur, Ruchika Malhotra	A comparative study of models for predicting fault proneness in object-oriented systems.	Int. J. Comput. Appl. Technol.	2014	DBLP DOI BibTeX RDF
24	Tomohiko Takagi, Mutlu Beyazit	Optimized Test Case Generation Based on Operational Profiles with Fault-Proneness Information.	Software Engineering Research, Management and Applications	2014	DBLP DOI BibTeX RDF
24	Hirohisa Aman, Sousuke Amasaki, Takashi Sasaki, Minoru Kawahara	Empirical Analysis of Fault-Proneness in Methods by Focusing on their Comment Lines.	APSEC (2)	2014	DBLP DOI BibTeX RDF
24	Shuai Xie, Foutse Khomh, Ying Zou 0001, Iman Keivanloo	An empirical study on the fault-proneness of clone migration in clone genealogies.	CSMR-WCRE	2014	DBLP DOI BibTeX RDF