Követés
Annibale Panichella
Annibale Panichella
Associate Professor, Delft University of Technology
E-mail megerősítve itt: tudelft.nl - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
How to Effectively Use Topic Models for Software Engineering Tasks? An Approach based on Genetic Algorithms
A Panichella, B Dit, R Oliveto, M Di Penta, D Poshynanyk, A De Lucia
The International Conference on Software Engineering (ICSE) 2013, 522-531, 0
439*
Automated test case generation as a many-objective optimisation problem with dynamic selection of the targets
A Panichella, FM Kifetew, P Tonella
IEEE Transactions on Software Engineering 44 (2), 122-158, 2017
3882017
When, how, and why developers (do not) test in their IDEs
M Beller, G Gousios, A Panichella, A Zaidman
Proceedings of the 2015 10th Joint Meeting on Foundations of Software …, 2015
2322015
Multi-objective cross-project defect prediction
G Canfora, A De Lucia, M Di Penta, R Oliveto, A Panichella, S Panichella
2013 IEEE Sixth international conference on software testing, verification …, 2013
2222013
Reformulating branch coverage as a many-objective optimization problem
A Panichella, FM Kifetew, P Tonella
2015 IEEE 8th international conference on software testing, verification and …, 2015
2202015
Cross-project defect prediction models: L'union fait la force
A Panichella, R Oliveto, A De Lucia
2014 Software Evolution Week-IEEE Conference on Software Maintenance …, 2014
2202014
Testing autonomous cars for feature interaction failures using many-objective search
RB Abdessalem, A Panichella, S Nejati, LC Briand, T Stifter
Proceedings of the 33rd ACM/IEEE International Conference on Automated …, 2018
2072018
A search-based approach for accurate identification of log message formats
S Messaoudi, A Panichella, D Bianculli, L Briand, R Sasnauskas
Proceedings of the 26th Conference on Program Comprehension, 167-177, 2018
2012018
A textual-based technique for smell detection
F Palomba, A Panichella, A De Lucia, R Oliveto, A Zaidman
2016 IEEE 24th international conference on program comprehension (ICPC), 1-10, 2016
1632016
An adaptive evolutionary algorithm based on non-euclidean geometry for many-objective optimization
A Panichella
Proceedings of the genetic and evolutionary computation conference, 595-603, 2019
1572019
Improving multi-objective test case selection by injecting diversity in genetic algorithms
A Panichella, R Oliveto, M Di Penta, A De Lucia
IEEE Transactions on Software Engineering 41 (4), 358-383, 2014
1472014
On the impact of code smells on the energy consumption of mobile applications
F Palomba, D Di Nucci, A Panichella, A Zaidman, A De Lucia
Information and Software Technology 105, 43-55, 2019
1422019
The impact of test case summaries on bug fixing performance: An empirical investigation
S Panichella, A Panichella, M Beller, A Zaidman, HC Gall
Proceedings of the 38th international conference on software engineering …, 2016
1402016
Using IR methods for labeling source code artifacts: Is it worthwhile?
A De Lucia, M Di Penta, R Oliveto, A Panichella, S Panichella
2012 20th IEEE International Conference on Program Comprehension (ICPC), 193-202, 2012
1352012
Developer testing in the ide: Patterns, beliefs, and behavior
M Beller, G Gousios, A Panichella, S Proksch, S Amann, A Zaidman
IEEE Transactions on Software Engineering 45 (3), 261-284, 2017
1292017
Lightweight detection of android-specific code smells: The adoctor project
F Palomba, D Di Nucci, A Panichella, A Zaidman, A De Lucia
2017 IEEE 24th international conference on software analysis, evolution and …, 2017
1292017
Software-based energy profiling of android apps: Simple, efficient and reliable?
D Di Nucci, F Palomba, A Prota, A Panichella, A Zaidman, A De Lucia
2017 IEEE 24th international conference on software analysis, evolution and …, 2017
1252017
On the diffusion of test smells in automatically generated test code: An empirical study
F Palomba, D Di Nucci, A Panichella, R Oliveto, A De Lucia
Proceedings of the 9th international workshop on search-based software …, 2016
1132016
Improving IR‐based traceability recovery via noun‐based indexing of software artifacts
G Capobianco, AD Lucia, R Oliveto, A Panichella, S Panichella
Journal of Software: Evolution and Process 25 (7), 743-762, 2013
1082013
Defect prediction as a multiobjective optimization problem
G Canfora, AD Lucia, MD Penta, R Oliveto, A Panichella, S Panichella
Software Testing, Verification and Reliability 25 (4), 426-459, 2015
1052015
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