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2020 – today
- 2023
[j90]Emanuele Iannone
, Roberta Guadagni, Filomena Ferrucci, Andrea De Lucia, Fabio Palomba:
The Secret Life of Software Vulnerabilities: A Large-Scale Empirical Study. IEEE Trans. Software Eng. 49(1): 44-63 (2023)- [i4]Manuel De Stefano, Fabiano Pecorelli, Dario Di Nucci, Fabio Palomba, Andrea De Lucia:
The Quantum Frontier of Software Engineering: A Systematic Mapping Study. CoRR abs/2305.19683 (2023) - 2022
- [j89]Fabiano Pecorelli, Gemma Catolino, Filomena Ferrucci, Andrea De Lucia, Fabio Palomba:
Software testing and Android applications: a large-scale empirical study. Empir. Softw. Eng. 27(2): 31 (2022) - [j88]Fabiano Pecorelli, Savanna Lujan, Valentina Lenarduzzi, Fabio Palomba, Andrea De Lucia:
On the adequacy of static analysis warnings with respect to code smell prediction. Empir. Softw. Eng. 27(3): 64 (2022) - [j87]Francesco Lomio, Emanuele Iannone, Andrea De Lucia, Fabio Palomba, Valentina Lenarduzzi:
Just-in-time software vulnerability detection: Are we there yet? J. Syst. Softw. 188: 111283 (2022) - [j86]Manuel De Stefano, Fabiano Pecorelli, Dario Di Nucci, Fabio Palomba, Andrea De Lucia:
Software engineering for quantum programming: How far are we? J. Syst. Softw. 190: 111326 (2022) - [j85]Abdul Razzaq, Anthony Ventresque, Rainer Koschke, Andrea De Lucia, Jim Buckley:
The Effect of Feature Characteristics on the Performance of Feature Location Techniques. IEEE Trans. Software Eng. 48(6): 2066-2085 (2022) - [c199]Emanuele Iannone, Manuel De Stefano, Fabiano Pecorelli, Andrea De Lucia:
Predicting The Energy Consumption Level of Java Classes in Android Apps: An Exploratory Analysis. MOBILESoft 2022: 1-5 - [c198]Manuel De Stefano, Dario Di Nucci, Fabio Palomba, Davide Taibi, Andrea De Lucia:
Towards Quantum-algorithms-as-a-service. QP4SE@ESEC/SIGSOFT FSE 2022: 7-10 - [c197]Manuel De Stefano, Fabiano Pecorelli, Dario Di Nucci, Andrea De Lucia:
A preliminary evaluation on the relationship among architectural and test smells. SCAM 2022: 66-70 - [c196]Giulia Sellitto, Emanuele Iannone, Zadia Codabux, Valentina Lenarduzzi, Andrea De Lucia, Fabio Palomba, Filomena Ferrucci:
Toward Understanding the Impact of Refactoring on Program Comprehension. SANER 2022: 731-742 - [i3]Manuel De Stefano, Fabiano Pecorelli, Dario Di Nucci, Fabio Palomba, Andrea De Lucia:
Software Engineering for Quantum Programming: How Far Are We? CoRR abs/2203.16969 (2022) - [i2]Fabiano Pecorelli, Giovanni Grano, Fabio Palomba, Harald C. Gall, Andrea De Lucia:
Toward Granular Automatic Unit Test Case Generation. CoRR abs/2204.05561 (2022) - 2021
- [j84]Fabiano Pecorelli, Fabio Palomba, Andrea De Lucia:
The Relation of Test-Related Factors to Software Quality: A Case Study on Apache Systems. Empir. Softw. Eng. 26(2): 18 (2021) - [j83]Andrea De Lucia, Mohammad Reza Mousavi:
Update from the Editorial Team. Sci. Comput. Program. 212: 102692 (2021) - [j82]Elder Vicente de Paulo Sobrinho, Andrea De Lucia, Marcelo de Almeida Maia:
A Systematic Literature Review on Bad Smells-5 W's: Which, When, What, Who, Where. IEEE Trans. Software Eng. 47(1): 17-66 (2021) - [c195]Emanuele Iannone, Dario Di Nucci, Antonino Sabetta, Andrea De Lucia:
Toward Automated Exploit Generation for Known Vulnerabilities in Open-Source Libraries. ICPC 2021: 396-400 - [c194]Manuel De Stefano, Fabiano Pecorelli, Fabio Palomba, Andrea De Lucia:
Comparing within- and cross-project machine learning algorithms for code smell detection. MaLTeSQuE@ESEC/SIGSOFT FSE 2021: 1-6 - 2020
- [j81]Gemma Catolino, Fabio Palomba, Francesca Arcelli Fontana, Andrea De Lucia, Andy Zaidman, Filomena Ferrucci:
Improving change prediction models with code smell-related information. Empir. Softw. Eng. 25(1): 49-95 (2020) - [j80]Pasquale Salza, Fabio Palomba, Dario Di Nucci, Andrea De Lucia, Filomena Ferrucci:
Third-party libraries in mobile apps. Empir. Softw. Eng. 25(3): 2341-2377 (2020) - [j79]Fabiano Pecorelli, Dario Di Nucci, Coen De Roover, Andrea De Lucia:
A large empirical assessment of the role of data balancing in machine-learning-based code smell detection. J. Syst. Softw. 169: 110693 (2020) - [j78]Dario Di Nucci, Annibale Panichella, Andy Zaidman, Andrea De Lucia:
A Test Case Prioritization Genetic Algorithm Guided by the Hypervolume Indicator. IEEE Trans. Software Eng. 46(6): 674-696 (2020) - [c193]Manuel De Stefano, Michele Simone Gambardella, Fabiano Pecorelli, Fabio Palomba, Andrea De Lucia:
cASpER: A Plug-in for Automated Code Smell Detection and Refactoring. AVI 2020: 79:1-79:3 - [c192]Fabiano Pecorelli, Gianluca Di Lillo, Fabio Palomba, Andrea De Lucia:
VITRuM: A Plug-In for the Visualization of Test-Related Metrics. AVI 2020: 101:1-101:3 - [c191]Manuel De Stefano, Fabiano Pecorelli, Damian A. Tamburri, Fabio Palomba, Andrea De Lucia:
Splicing Community Patterns and Smells: A Preliminary Study. ICSE (Workshops) 2020: 703-710 - [c190]Manuel De Stefano, Fabiano Pecorelli, Damian Andrew Tamburri, Fabio Palomba, Andrea De Lucia:
Refactoring Recommendations Based on the Optimization of Socio-Technical Congruence. ICSME 2020: 794-796 - [c189]Rocco Oliveto, Malcom Gethers, Denys Poshyvanyk, Andrea De Lucia:
On the Equivalence of Information Retrieval Methods for Automated Traceability Link Recovery: A Ten-Year Retrospective. ICPC 2020: 1 - [c188]Fabiano Pecorelli, Gemma Catolino, Filomena Ferrucci, Andrea De Lucia, Fabio Palomba:
Testing of Mobile Applications in the Wild: A Large-Scale Empirical Study on Android Apps. ICPC 2020: 296-307 - [c187]Stefano Lambiase, Andrea Cupito, Fabiano Pecorelli, Andrea De Lucia, Fabio Palomba:
Just-In-Time Test Smell Detection and Refactoring: The DARTS Project. ICPC 2020: 441-445 - [c186]Emanuele Iannone, Fabiano Pecorelli, Dario Di Nucci, Fabio Palomba, Andrea De Lucia:
Refactoring Android-specific Energy Smells: A Plugin for Android Studio. ICPC 2020: 451-455 - [c185]Fabiano Pecorelli, Fabio Palomba, Foutse Khomh, Andrea De Lucia:
Developer-Driven Code Smell Prioritization. MSR 2020: 220-231 - [c184]Savanna Lujan, Fabiano Pecorelli, Fabio Palomba, Andrea De Lucia, Valentina Lenarduzzi:
A preliminary study on the adequacy of static analysis warnings with respect to code smell prediction. MaLTeSQuE@ESEC/SIGSOFT FSE 2020: 1-6
2010 – 2019
- 2019
- [j77]Fabio Palomba, Dario Di Nucci, Annibale Panichella, Andy Zaidman, Andrea De Lucia:
On the impact of code smells on the energy consumption of mobile applications. Inf. Softw. Technol. 105: 43-55 (2019) - [j76]Giovanni Grano, Fabio Palomba, Dario Di Nucci, Andrea De Lucia, Harald C. Gall:
Scented since the beginning: On the diffuseness of test smells in automatically generated test code. J. Syst. Softw. 156: 312-327 (2019) - [j75]Fabio Palomba, Marco Zanoni, Francesca Arcelli Fontana, Andrea De Lucia, Rocco Oliveto:
Toward a Smell-Aware Bug Prediction Model. IEEE Trans. Software Eng. 45(2): 194-218 (2019) - [c183]Fabiano Pecorelli, Fabio Palomba, Dario Di Nucci, Andrea De Lucia:
Comparing heuristic and machine learning approaches for metric-based code smell detection. ICPC 2019: 93-104 - [c182]Fabiano Pecorelli, Dario Di Nucci, Coen De Roover, Andrea De Lucia:
On the role of data balancing for machine learning-based code smell detection. MaLTeSQuE@ESEC/SIGSOFT FSE 2019: 19-24 - [i1]Gemma Catolino, Fabio Palomba, Francesca Arcelli Fontana, Andrea De Lucia, Andy Zaidman, Filomena Ferrucci:
Improving Change Prediction Models with Code Smell-Related Information. CoRR abs/1905.10889 (2019) - 2018
- [j74]Fabio Palomba, Gabriele Bavota, Massimiliano Di Penta, Fausto Fasano, Rocco Oliveto, Andrea De Lucia:
On the diffuseness and the impact on maintainability of code smells: a large scale empirical investigation. Empir. Softw. Eng. 23(3): 1188-1221 (2018) - [j73]Fabio Palomba, Gabriele Bavota, Massimiliano Di Penta, Fausto Fasano, Rocco Oliveto, Andrea De Lucia:
A large-scale empirical study on the lifecycle of code smell co-occurrences. Inf. Softw. Technol. 99: 1-10 (2018) - [j72]Fabio Palomba, Mario Linares Vásquez, Gabriele Bavota, Rocco Oliveto, Massimiliano Di Penta, Denys Poshyvanyk, Andrea De Lucia:
Crowdsourcing user reviews to support the evolution of mobile apps. J. Syst. Softw. 137: 143-162 (2018) - [j71]Gemma Catolino, Fabio Palomba, Andrea De Lucia, Filomena Ferrucci, Andy Zaidman:
Enhancing change prediction models using developer-related factors. J. Syst. Softw. 143: 14-28 (2018) - [j70]Andrea De Lucia, Vincenzo Deufemia, Carmine Gravino, Michele Risi:
Detecting the Behavior of Design Patterns through Model Checking and Dynamic Analysis. ACM Trans. Softw. Eng. Methodol. 26(4): 13:1-13:41 (2018) - [j69]Dario Di Nucci, Fabio Palomba, Giuseppe De Rosa, Gabriele Bavota, Rocco Oliveto, Andrea De Lucia:
A Developer Centered Bug Prediction Model. IEEE Trans. Software Eng. 44(1): 5-24 (2018) - [j68]Fabio Palomba, Annibale Panichella, Andy Zaidman, Rocco Oliveto, Andrea De Lucia:
The Scent of a Smell: An Extensive Comparison Between Textual and Structural Smells. IEEE Trans. Software Eng. 44(10): 977-1000 (2018) - [c181]Andrea De Lucia, Vincenzo Deufemia, Carmine Gravino, Michele Risi:
Impact of Design Pattern Implementation Variants on the Retrieval Effectiveness of a Recovery Tool: An Exploratory Study. SEAA 2018: 159-166 - [c180]Dario Di Nucci, Fabio Palomba, Andrea De Lucia:
Evaluating the Adaptive Selection of Classifiers for Cross-Project Bug Prediction. RAISE@ICSE 2018: 48-54 - [c179]Fabio Palomba, Gabriele Bavota, Massimiliano Di Penta, Fausto Fasano, Rocco Oliveto, Andrea De Lucia:
On the diffuseness and the impact on maintainability of code smells: a large scale empirical investigation. ICSE 2018: 482 - [c178]Fabio Palomba, Annibale Panichella, Andy Zaidman, Rocco Oliveto, Andrea De Lucia:
The scent of a smell: an extensive comparison between textual and structural smells. ICSE 2018: 740 - [c177]Fabio Palomba, Andy Zaidman, Andrea De Lucia:
Automatic Test Smell Detection Using Information Retrieval Techniques. ICSME 2018: 311-322 - [c176]Pasquale Salza, Fabio Palomba, Dario Di Nucci, Cosmo D'Uva, Andrea De Lucia, Filomena Ferrucci:
Do developers update third-party libraries in mobile apps? ICPC 2018: 255-265 - [c175]Simone Scalabrino, Giovanni Grano, Dario Di Nucci, Michele Guerra, Andrea De Lucia, Harald C. Gall, Rocco Oliveto:
OCELOT: a search-based test-data generation tool for C. ASE 2018: 868-871 - [c174]Andrea De Lucia, Vincenzo Deufemia, Carmine Gravino, Michele Risi:
Dealing with Design Pattern Variants in Reverse Engineering: An Exploratory Study. QUATIC 2018: 164-167 - [c173]Dario Di Nucci, Andrea De Lucia:
The role of meta-learners in the adaptive selection of classifiers. MaLTeSQuE@SANER 2018: 7-12 - [c172]Dario Di Nucci, Fabio Palomba, Damian A. Tamburri, Alexander Serebrenik, Andrea De Lucia:
Detecting code smells using machine learning techniques: Are we there yet? SANER 2018: 612-621 - 2017
- [j67]Michele Tufano, Gabriele Bavota, Denys Poshyvanyk, Massimiliano Di Penta, Rocco Oliveto, Andrea De Lucia:
An empirical study on developer-related factors characterizing fix-inducing commits. J. Softw. Evol. Process. 29(1) (2017) - [j66]Michele Tufano, Fabio Palomba, Gabriele Bavota, Massimiliano Di Penta, Rocco Oliveto, Andrea De Lucia, Denys Poshyvanyk:
There and back again: Can you compile that snapshot? J. Softw. Evol. Process. 29(4) (2017) - [j65]Dario Di Nucci, Fabio Palomba, Rocco Oliveto, Andrea De Lucia:
Dynamic Selection of Classifiers in Bug Prediction: An Adaptive Method. IEEE Trans. Emerg. Top. Comput. Intell. 1(3): 202-212 (2017) - [j64]Chris Mills, Gabriele Bavota, Sonia Haiduc, Rocco Oliveto, Andrian Marcus, Andrea De Lucia:
Predicting Query Quality for Applications of Text Retrieval to Software Engineering Tasks. ACM Trans. Softw. Eng. Methodol. 26(1): 3:1-3:45 (2017) - [j63]Michele Tufano, Fabio Palomba, Gabriele Bavota, Rocco Oliveto, Massimiliano Di Penta, Andrea De Lucia, Denys Poshyvanyk:
When and Why Your Code Starts to Smell Bad (and Whether the Smells Go Away). IEEE Trans. Software Eng. 43(11): 1063-1088 (2017) - [c171]Dario Di Nucci, Fabio Palomba, Antonio Prota, Annibale Panichella, Andy Zaidman, Andrea De Lucia:
PETrA: a software-based tool for estimating the energy profile of Android applications. ICSE (Companion Volume) 2017: 3-6 - [c170]Fabio Palomba, Pasquale Salza, Adelina Ciurumelea, Sebastiano Panichella, Harald C. Gall, Filomena Ferrucci, Andrea De Lucia:
Recommending and localizing change requests for mobile apps based on user reviews. ICSE 2017: 106-117 - [c169]Fabio Palomba, Andy Zaidman, Rocco Oliveto, Andrea De Lucia:
An exploratory study on the relationship between changes and refactoring. ICPC 2017: 176-185 - [c168]Gemma Catolino, Fabio Palomba, Andrea De Lucia, Filomena Ferrucci, Andy Zaidman:
Developer-related factors in change prediction: an empirical assessment. ICPC 2017: 186-195 - [c167]Fabio Palomba, Rocco Oliveto, Andrea De Lucia:
Investigating code smell co-occurrences using association rule learning: A replicated study. MaLTeSQuE@SANER 2017: 8-13 - [c166]Dario Di Nucci, Fabio Palomba, Antonio Prota, Annibale Panichella, Andy Zaidman, Andrea De Lucia:
Software-based energy profiling of Android apps: Simple, efficient and reliable? SANER 2017: 103-114 - [c165]Fabio Palomba, Dario Di Nucci, Annibale Panichella, Andy Zaidman, Andrea De Lucia:
Lightweight detection of Android-specific code smells: The aDoctor project. SANER 2017: 487-491 - 2016
- [c164]Fabio Palomba, Dario Di Nucci, Annibale Panichella, Rocco Oliveto, Andrea De Lucia:
On the diffusion of test smells in automatically generated test code: an empirical study. SBST@ICSE 2016: 5-14 - [c163]Fabio Palomba, Marco Zanoni, Francesca Arcelli Fontana, Andrea De Lucia, Rocco Oliveto:
Smells Like Teen Spirit: Improving Bug Prediction Performance Using the Intensity of Code Smells. ICSME 2016: 244-255 - [c162]Fabio Palomba, Annibale Panichella, Andy Zaidman, Rocco Oliveto, Andrea De Lucia:
Automatic test case generation: what if test code quality matters? ISSTA 2016: 130-141 - [c161]Fabio Palomba, Annibale Panichella, Andrea De Lucia, Rocco Oliveto, Andy Zaidman:
A textual-based technique for Smell Detection. ICPC 2016: 1-10 - [c160]Michele Tufano, Fabio Palomba, Gabriele Bavota, Massimiliano Di Penta, Rocco Oliveto, Andrea De Lucia, Denys Poshyvanyk:
An empirical investigation into the nature of test smells. ASE 2016: 4-15 - [c159]Simone Scalabrino, Giovanni Grano, Dario Di Nucci, Rocco Oliveto, Andrea De Lucia:
Search-Based Testing of Procedural Programs: Iterative Single-Target or Multi-target Approach? SSBSE 2016: 64-79 - [c158]Annibale Panichella, Bogdan Dit, Rocco Oliveto, Massimiliano Di Penta, Denys Poshyvanyk, Andrea De Lucia:
Parameterizing and Assembling IR-Based Solutions for SE Tasks Using Genetic Algorithms. SANER 2016: 314-325 - 2015
- [j62]Fabio Palomba, Andrea De Lucia, Gabriele Bavota, Rocco Oliveto:
Anti-Pattern Detection: Methods, Challenges, and Open Issues. Adv. Comput. 95: 201-238 (2015) - [j61]Gabriele Bavota, Abdallah Qusef, Rocco Oliveto, Andrea De Lucia, Dave W. Binkley:
Are test smells really harmful? An empirical study. Empir. Softw. Eng. 20(4): 1052-1094 (2015) - [j60]Gabriele Bavota, Andrea De Lucia, Massimiliano Di Penta, Rocco Oliveto, Fabio Palomba:
An experimental investigation on the innate relationship between quality and refactoring. J. Syst. Softw. 107: 1-14 (2015) - [j59]Gabriele Bavota, Carmine Gravino, Rocco Oliveto, Andrea De Lucia, Genoveffa Tortora, Marcela Genero, José A. Cruz-Lemus:
A fine-grained analysis of the support provided by UML class diagrams and ER diagrams during data model maintenance. Softw. Syst. Model. 14(1): 287-306 (2015) - [j58]Gerardo Canfora, Andrea De Lucia, Massimiliano Di Penta, Rocco Oliveto, Annibale Panichella, Sebastiano Panichella:
Defect prediction as a multiobjective optimization problem. Softw. Test. Verification Reliab. 25(4): 426-459 (2015) - [j57]Annibale Panichella, Rocco Oliveto, Massimiliano Di Penta, Andrea De Lucia:
Improving Multi-Objective Test Case Selection by Injecting Diversity in Genetic Algorithms. IEEE Trans. Software Eng. 41(4): 358-383 (2015) - [j56]Fabio Palomba, Gabriele Bavota, Massimiliano Di Penta, Rocco Oliveto, Denys Poshyvanyk, Andrea De Lucia:
Mining Version Histories for Detecting Code Smells. IEEE Trans. Software Eng. 41(5): 462-489 (2015) - [c157]Annibale Panichella, Andrea De Lucia, Andy Zaidman:
Adaptive User Feedback for IR-Based Traceability Recovery. SST@ICSE 2015: 15-21 - [c156]Michele Tufano, Fabio Palomba, Gabriele Bavota, Rocco Oliveto, Massimiliano Di Penta, Andrea De Lucia, Denys Poshyvanyk:
When and Why Your Code Starts to Smell Bad. ICSE (1) 2015: 403-414 - [c155]Fabio Palomba, Michele Tufano, Gabriele Bavota, Rocco Oliveto, Andrian Marcus, Denys Poshyvanyk, Andrea De Lucia:
Extract Package Refactoring in ARIES. ICSE (2) 2015: 669-672 - [c154]Andrea De Lucia, Vincenzo Deufemia, Carmine Gravino, Michele Risi:
Towards automating dynamic analysis for behavioral design pattern detection. ICSME 2015: 161-170 - [c153]Dario Di Nucci, Fabio Palomba, Sandro Siravo, Gabriele Bavota, Rocco Oliveto, Andrea De Lucia:
On the role of developer's scattered changes in bug prediction. ICSME 2015: 241-250 - [c152]Fabio Palomba, Mario Linares Vásquez, Gabriele Bavota, Rocco Oliveto, Massimiliano Di Penta, Denys Poshyvanyk, Andrea De Lucia:
User reviews matter! Tracking crowdsourced reviews to support evolution of successful apps. ICSME 2015: 291-300 - [c151]Andrea De Lucia, Vincenzo Deufemia, Carmine Gravino, Michele Risi, Ciro Pirolli:
ePadEvo: A tool for the detection of behavioral design patterns. ICSME 2015: 327-329 - [c150]Fabio Palomba, Dario Di Nucci, Michele Tufano, Gabriele Bavota, Rocco Oliveto, Denys Poshyvanyk, Andrea De Lucia:
Landfill: An Open Dataset of Code Smells with Public Evaluation. MSR 2015: 482-485 - [c149]Dario Di Nucci, Annibale Panichella, Andy Zaidman, Andrea De Lucia:
Hypervolume-Based Search for Test Case Prioritization. SSBSE 2015: 157-172 - [e3]Andrea De Lucia, Christian Bird, Rocco Oliveto:
Proceedings of the 2015 IEEE 23rd International Conference on Program Comprehension, ICPC 2015, Florence/Firenze, Italy, May 16-24, 2015. IEEE Computer Society 2015 [contents] - 2014
- [j55]Andrea De Lucia, Massimiliano Di Penta, Rocco Oliveto, Annibale Panichella, Sebastiano Panichella:
Labeling source code with information retrieval methods: an empirical study. Empir. Softw. Eng. 19(5): 1383-1420 (2014) - [j54]Gabriele Bavota, Andrea De Lucia, Andrian Marcus, Rocco Oliveto:
Automating extract class refactoring: an improved method and its evaluation. Empir. Softw. Eng. 19(6): 1617-1664 (2014) - [j53]Gabriele Bavota, Andrea De Lucia, Rocco Oliveto, Genoveffa Tortora:
Enhancing software artefact traceability recovery processes with link count information. Inf. Softw. Technol. 56(2): 163-182 (2014) - [j52]Abdallah Qusef, Gabriele Bavota, Rocco Oliveto, Andrea De Lucia, Dave W. Binkley:
Recovering test-to-code traceability using slicing and textual analysis. J. Syst. Softw. 88: 147-168 (2014) - [j51]Gabriele Bavota, Malcom Gethers, Rocco Oliveto, Denys Poshyvanyk, Andrea De Lucia:
Improving software modularization via automated analysis of latent topics and dependencies. ACM Trans. Softw. Eng. Methodol. 23(1): 4:1-4:33 (2014) - [j50]Gabriele Bavota, Rocco Oliveto, Malcom Gethers, Denys Poshyvanyk, Andrea De Lucia:
Methodbook: Recommending Move Method Refactorings via Relational Topic Models. IEEE Trans. Software Eng. 40(7): 671-694 (2014) - [c148]Annibale Panichella, Rocco Oliveto, Andrea De Lucia:
Cross-project defect prediction models: L'Union fait la force. CSMR-WCRE 2014: 164-173 - [c147]Gabriele Bavota, Rocco Oliveto, Andrea De Lucia, Andrian Marcus, Yann-Gaël Guéhéneuc, Giuliano Antoniol:
In medio stat virtus: Extract class refactoring through nash equilibria. CSMR-WCRE 2014: 214-223 - [c146]Fabio Palomba, Gabriele Bavota, Massimiliano Di Penta, Rocco Oliveto, Andrea De Lucia:
Do They Really Smell Bad? A Study on Developers' Perception of Bad Code Smells. ICSME 2014: 101-110 - [p2]Gabriele Bavota, Andrea De Lucia, Andrian Marcus, Rocco Oliveto:
Recommending Refactoring Operations in Large Software Systems. Recommendation Systems in Software Engineering 2014: 387-419 - 2013
- [j49]Gabriele Bavota, Andrea De Lucia, Andrian Marcus, Rocco Oliveto:
Using structural and semantic measures to improve software modularization. Empir. Softw. Eng. 18(5): 901-932 (2013) - [j48]Giuseppe Scanniello, Fausto Fasano, Andrea De Lucia, Genoveffa Tortora:
Does software error/defect identification matter in the italian industry? IET Softw. 7(2) (2013) - [j47]Andrea De Lucia, Massimiliano Di Penta, Rocco Oliveto, Annibale Panichella, Sebastiano Panichella:
Applying a smoothing filter to improve IR-based traceability recovery processes: An empirical investigation. Inf. Softw. Technol. 55(4): 741-754 (2013) - [j46]Giovanni Capobianco, Andrea De Lucia, Rocco Oliveto, Annibale Panichella, Sebastiano Panichella:
Improving IR-based traceability recovery via noun-based indexing of software artifacts. J. Softw. Evol. Process. 25(7): 743-762 (2013) - [j45]Abdallah Qusef, Gabriele Bavota, Rocco Oliveto, Andrea De Lucia, David W. Binkley:
Evaluating test-to-code traceability recovery methods through controlled experiments. J. Softw. Evol. Process. 25(11): 1167-1191 (2013) - [c145]Annibale Panichella, Collin McMillan, Evan Moritz, Davide Palmieri, Rocco Oliveto, Denys Poshyvanyk, Andrea De Lucia:
When and How Using Structural Information to Improve IR-Based Traceability Recovery. CSMR 2013: 199-208