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ORCIDAnnibale Panichella
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- affiliation: Delft University of Technology, The Netherlands
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2020 – today
- 2025
[c89]Christian Birchler, Sajad Khatiri, Pouria Derakhshanfar, Sebastiano Panichella, Annibale Panichella:
Single and Multi-objective Test Cases Prioritization for Self-driving Cars in Virtual Environments. Software Engineering 2025: 13- [i27]Azat Abdullin, Pouria Derakhshanfar, Annibale Panichella:
Test Wars: A Comparative Study of SBST, Symbolic Execution, and LLM-Based Approaches to Unit Test Generation. CoRR abs/2501.10200 (2025) - [i26]Antony Bartlett, Cynthia C. S. Liem, Annibale Panichella:
Raiders of the Lost Dependency: Fixing Dependency Conflicts in Python using LLMs. CoRR abs/2501.16191 (2025) - 2024
- [j28]Imara van Dinten
, Pouria Derakhshanfar, Annibale Panichella, Andy Zaidman:
The slow and the furious? Performance antipattern detection in Cyber-Physical Systems. J. Syst. Softw. 210: 111904 (2024) - [j27]Antony Bartlett, Cynthia C. S. Liem, Annibale Panichella:
Multi-objective differential evolution in the generation of adversarial examples. Sci. Comput. Program. 238: 103169 (2024) - [c88]Arkadii Sapozhnikov, Mitchell Olsthoorn, Annibale Panichella, Vladimir Kovalenko, Pouria Derakhshanfar:
TestSpark: IntelliJ IDEA's Ultimate Test Generation Companion. ICSE Companion 2024: 30-34 - [c87]Clinton Cao, Simon Schneider, Nicolás E. Díaz Ferreyra, Sicco Verwer, Annibale Panichella, Riccardo Scandariato:
CATMA: Conformance Analysis Tool For Microservice Applications. ICSE Companion 2024: 59-63 - [c86]June Sallou, Thomas Durieux, Annibale Panichella:
Breaking the Silence: the Threats of Using LLMs in Software Engineering. NIER@ICSE 2024: 102-106 - [c85]Mitchell Olsthoorn, Dimitri Michel Stallenberg, Annibale Panichella:
Syntest-JavaScript: Automated Unit-Level Test Case Generation for JavaScript. SBFT@ICSE 2024: 21-24 - [c84]Calin Georgescu, Mitchell Olsthoorn, Pouria Derakhshanfar, Marat Akhin, Annibale Panichella:
Evolutionary Generative Fuzzing for Differential Testing of the Kotlin Compiler. SIGSOFT FSE Companion 2024: 197-207 - [i25]Arkadii Sapozhnikov, Mitchell Olsthoorn, Annibale Panichella, Vladimir Kovalenko, Pouria Derakhshanfar:
TestSpark: IntelliJ IDEA's Ultimate Test Generation Companion. CoRR abs/2401.06580 (2024) - [i24]Calin Georgescu, Mitchell Olsthoorn, Pouria Derakhshanfar, Marat Akhin, Annibale Panichella:
Evolutionary Generative Fuzzing for Differential Testing of the Kotlin Compiler. CoRR abs/2401.06653 (2024) - [i23]Clinton Cao, Simon Schneider, Nicolás E. Díaz Ferreyra, Sicco Verwer, Annibale Panichella, Riccardo Scandariato:
CATMA: Conformance Analysis Tool For Microservice Applications. CoRR abs/2401.09838 (2024) - [i22]Clinton Cao, Annibale Panichella, Sicco Verwer:
Automated Test-Case Generation for REST APIs Using Model Inference Search Heuristic. CoRR abs/2412.03420 (2024) - [i21]Clinton Cao, Agathe Blaise, Annibale Panichella, Sicco Verwer:
State Frequency Estimation for Anomaly Detection. CoRR abs/2412.03442 (2024) - 2023
- [j26]Xavier Devroey, Alessio Gambi, Juan Pablo Galeotti, René Just, Fitsum Meshesha Kifetew, Annibale Panichella, Sebastiano Panichella:
JUGE: An infrastructure for benchmarking Java unit test generators. Softw. Test. Verification Reliab. 33(3) (2023) - [j25]Christian Birchler, Sajad Khatiri, Pouria Derakhshanfar, Sebastiano Panichella, Annibale Panichella:
Single and Multi-objective Test Cases Prioritization for Self-driving Cars in Virtual Environments. ACM Trans. Softw. Eng. Methodol. 32(2): 28:1-28:30 (2023) - [j24]Fiorella Zampetti, Damian A. Tamburri, Sebastiano Panichella, Annibale Panichella, Gerardo Canfora, Massimiliano Di Penta:
Continuous Integration and Delivery Practices for Cyber-Physical Systems: An Interview-Based Study. ACM Trans. Softw. Eng. Methodol. 32(3): 73:1-73:44 (2023) - [j23]Pouria Derakhshanfar, Xavier Devroey, Annibale Panichella, Andy Zaidman, Arie van Deursen:
Generating Class-Level Integration Tests Using Call Site Information. IEEE Trans. Software Eng. 49(4): 2069-2087 (2023) - [c83]Annibale Panichella, Giuseppe Di Domenico:
A Fast Multi-objective Evolutionary Approach for Designing Large-Scale Optical Mode Sorter. GECCO 2023: 1445-1453 - [c82]Leonhard Applis, Annibale Panichella, Ruben Marang:
Searching for Quality: Genetic Algorithms and Metamorphic Testing for Software Engineering ML. GECCO 2023: 1490-1498 - [c81]Antony Bartlett, Cynthia C. S. Liem, Annibale Panichella:
On the Strengths of Pure Evolutionary Algorithms in Generating Adversarial Examples. SBFT 2023: 1-8 - [c80]Lisette Veldkamp, Mitchell Olsthoorn, Annibale Panichella:
Grammar-Based Evolutionary Fuzzing for JSON-RPC APIs. SBFT 2023: 33-36 - [c79]Martijn van Meerten, Burcu Kulahcioglu Ozkan, Annibale Panichella:
Evolutionary Approach for Concurrency Testing of Ripple Blockchain Consensus Algorithm. ICSE-SEIP 2023: 36-47 - [c78]Leonhard Applis, Annibale Panichella:
HasBugs - Handpicked Haskell Bugs. MSR 2023: 223-227 - [c77]Imara van Dinten, Andy Zaidman, Annibale Panichella:
Multi-objective Black-Box Test Case Prioritization Based on Wordnet Distances. SSBSE 2023: 101-107 - [i20]June Sallou, Thomas Durieux, Annibale Panichella:
Breaking the Silence: the Threats of Using LLMs in Software Engineering. CoRR abs/2312.08055 (2023) - 2022
- [j22]Annibale Panichella, Sebastiano Panichella, Gordon Fraser, Anand Ashok Sawant, Vincent J. Hellendoorn:
Test smells 20 years later: detectability, validity, and reliability. Empir. Softw. Eng. 27(7): 170 (2022) - [c76]Annibale Panichella:
An improved Pareto front modeling algorithm for large-scale many-objective optimization. GECCO 2022: 565-573 - [c75]Mitchell Olsthoorn, Dimitri Michel Stallenberg, Arie van Deursen, Annibale Panichella:
SynTest-Solidity: Automated Test Case Generation and Fuzzing for Smart Contracts. ICSE-Companion 2022: 202-206 - [c74]Matthías Páll Gissurarson, Leonhard Applis, Annibale Panichella, Arie van Deursen, David Sands:
PROPR: Property-Based Automatic Program Repair. ICSE 2022: 1768-1780 - [c73]Mitchell Olsthoorn, Arie van Deursen, Annibale Panichella:
Guiding Automated Test Case Generation for Transaction-Reverting Statements in Smart Contracts. ICSME 2022: 163-174 - [c72]Fitsum Meshesha Kifetew, Annibale Panichella:
Message from the Program Co-Chairs. ICST 2022: xiii - [c71]Dimitri Michel Stallenberg, Mitchell Olsthoorn, Annibale Panichella:
Guess What: Test Case Generation for Javascript with Unsupervised Probabilistic Type Inference. SSBSE 2022: 67-82 - [d8]Leonhard Applis, Annibale Panichella, Arie van Deursen:
Reproduction: Assessing Robustness of ML-Based Program Analysis Tools using Metamorphic Program Transformations. Version 1.0. Zenodo, 2022 [all versions]
- [d7]Leonhard Applis, Annibale Panichella, Arie van Deursen:
Reproduction: Assessing Robustness of ML-Based Program Analysis Tools using Metamorphic Program Transformations. Version 1.0. Zenodo, 2022 [all versions] - [d6]Leonhard Applis, Annibale Panichella, Arie van Deursen:
Reproduction: Assessing Robustness of ML-Based Program Analysis Tools using Metamorphic Program Transformations. Version 1.1. Zenodo, 2022 [all versions] - [d5]Mitchell Olsthoorn, Arie van Deursen, Annibale Panichella:
Replication package of "Guiding Automated Test Case Generation for Transaction-Reverting Statements in Smart Contracts". Zenodo, 2022 - [d4]Fiorella Zampetti, Damian A. Tamburri, Sebastiano Panichella, Annibale Panichella, Gerardo Canfora, Massimiliano Di Penta:
Continuous Integration and Delivery Practices for Cyber-Physical Systems: An Interview-Based Study - Online Dataset. Version 1. Zenodo, 2022 [all versions] - [d3]Fiorella Zampetti, Damian A. Tamburri, Sebastiano Panichella, Annibale Panichella, Gerardo Canfora, Massimiliano Di Penta:
Continuous Integration and Delivery Practices for Cyber-Physical Systems: An Interview-Based Study - Online Dataset. Version 2. Zenodo, 2022 [all versions] - [d2]Fiorella Zampetti, Damian A. Tamburri, Sebastiano Panichella, Annibale Panichella, Gerardo Canfora, Massimiliano Di Penta:
Continuous Integration and Delivery Practices for Cyber-Physical Systems: An Interview-Based Study - Online Dataset. Version 3. Zenodo, 2022 [all versions] - [i19]Clinton Cao, Annibale Panichella, Sicco Verwer, Agathe Blaise, Filippo Rebecchi:
Encoding NetFlows for State-Machine Learning. CoRR abs/2207.03890 (2022) - 2021
- [j21]Annibale Panichella:
A Systematic Comparison of search-Based approaches for LDA hyperparameter tuning. Inf. Softw. Technol. 130: 106411 (2021) - [j20]Qianqian Zhu, Andy Zaidman, Annibale Panichella:
How to kill them all: An exploratory study on the impact of code observability on mutation testing. J. Syst. Softw. 173: 110864 (2021) - [j19]Valentina Lenarduzzi, Annibale Panichella:
Serverless Testing: Tool Vendors' and Experts' Points of View. IEEE Softw. 38(1): 54-60 (2021) - [j18]Giovanni Grano, Christoph Laaber, Annibale Panichella, Sebastiano Panichella:
Testing with Fewer Resources: An Adaptive Approach to Performance-Aware Test Case Generation. IEEE Trans. Software Eng. 47(11): 2332-2347 (2021) - [c70]Annibale Panichella, Cynthia C. S. Liem:
What Are We Really Testing in Mutation Testing for Machine Learning? A Critical Reflection. ICSE (NIER) 2021: 66-70 - [c69]Casper Schröder, Adriaan van der Feltz, Annibale Panichella, Maurício Aniche:
Search-Based Software Re-Modularization: A Case Study at Adyen. ICSE (SEIP) 2021: 81-90 - [c68]Salma Messaoudi, Donghwan Shin, Annibale Panichella, Domenico Bianculli, Lionel C. Briand:
Log-based slicing for system-level test cases. ISSTA 2021: 517-528 - [c67]Dimitri Michel Stallenberg, Mitchell Olsthoorn, Annibale Panichella:
Improving Test Case Generation for REST APIs Through Hierarchical Clustering. ASE 2021: 117-128 - [c66]Leonhard Applis, Annibale Panichella, Arie van Deursen:
Assessing Robustness of ML-Based Program Analysis Tools using Metamorphic Program Transformations. ASE 2021: 1377-1381 - [c65]Burak Yildiz, Hayley Hung, Jesse H. Krijthe, Cynthia C. S. Liem, Marco Loog, Gosia Migut, Frans A. Oliehoek, Annibale Panichella, Przemyslaw Pawelczak, Stjepan Picek, Mathijs de Weerdt, Jan van Gemert:
ReproducedPapers.org: Openly Teaching and Structuring Machine Learning Reproducibility. RRPR 2021: 3-11 - [c64]Sebastian Vogl, Sebastian Schweikl, Gordon Fraser, Andrea Arcuri, José Campos, Annibale Panichella:
Evosuite at the SBST 2021 Tool Competition. SBST@ICSE 2021: 28-29 - [c63]Mitchell Olsthoorn, Pouria Derakhshanfar, Annibale Panichella:
Hybrid Multi-level Crossover for Unit Test Case Generation. SSBSE 2021: 72-86 - [c62]Mitchell Olsthoorn, Annibale Panichella:
Multi-objective Test Case Selection Through Linkage Learning-Based Crossover. SSBSE 2021: 87-102 - [i18]Casper Schröder, Adriaan van der Feltz, Annibale Panichella, Maurício Finavaro Aniche:
Search-Based Software Re-Modularization: A Case Study at Adyen. CoRR abs/2102.00701 (2021) - [i17]Annibale Panichella, Cynthia C. S. Liem:
What Are We Really Testing in Mutation Testing for Machine Learning? A Critical Reflection. CoRR abs/2103.01341 (2021) - [i16]Xavier Devroey, Alessio Gambi, Juan Pablo Galeotti, René Just, Fitsum Meshesha Kifetew, Annibale Panichella, Sebastiano Panichella:
JUGE: An Infrastructure for Benchmarking Java Unit Test Generators. CoRR abs/2106.07520 (2021) - [i15]Mitchell Olsthoorn, Annibale Panichella:
Multi-objective Test Case Selection Through Linkage Learning-based Crossover. CoRR abs/2107.08454 (2021) - [i14]Christian Birchler, Sajad Khatiri, Pouria Derakhshanfar, Sebastiano Panichella, Annibale Panichella:
Automated Test Cases Prioritization for Self-driving Cars in Virtual Environments. CoRR abs/2107.09614 (2021) - [i13]Mitchell Olsthoorn, Pouria Derakhshanfar, Annibale Panichella:
Hybrid Multi-level Crossover for Unit Test Case Generation. CoRR abs/2108.05466 (2021) - [i12]Dimitri Michel Stallenberg, Mitchell Olsthoorn, Annibale Panichella:
Improving Test Case Generation for REST APIs Through Hierarchical Clustering. CoRR abs/2109.06655 (2021) - 2020
- [j17]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) - [j16]Mozhan Soltani, Annibale Panichella, Arie van Deursen:
Search-Based Crash Reproduction and Its Impact on Debugging. IEEE Trans. Software Eng. 46(12): 1294-1317 (2020) - [c61]Pouria Derakhshanfar, Xavier Devroey, Andy Zaidman, Arie van Deursen, Annibale Panichella:
Crash reproduction using helper objectives. GECCO Companion 2020: 309-310 - [c60]Cynthia C. S. Liem, Annibale Panichella:
Oracle Issues in Machine Learning and Where to Find Them. ICSE (Workshops) 2020: 483-488 - [c59]Annibale Panichella, José Campos, Gordon Fraser:
EvoSuite at the SBST 2020 Tool Competition. ICSE (Workshops) 2020: 549-552 - [c58]Annibale Panichella, Sebastiano Panichella, Gordon Fraser, Anand Ashok Sawant, Vincent J. Hellendoorn:
Revisiting Test Smells in Automatically Generated Tests: Limitations, Pitfalls, and Opportunities. ICSME 2020: 523-533 - [c57]Raja Ben Abdessalem, Annibale Panichella, Shiva Nejati, Lionel C. Briand, Thomas Stifter:
Automated repair of feature interaction failures in automated driving systems. ISSTA 2020: 88-100 - [c56]Pouria Derakhshanfar, Xavier Devroey, Andy Zaidman, Arie van Deursen, Annibale Panichella:
Good Things Come In Threes: Improving Search-based Crash Reproduction With Helper Objectives. ASE 2020: 211-223 - [c55]Devjeet Roy, Ziyi Zhang, Maggie Ma, Venera Arnaoudova, Annibale Panichella, Sebastiano Panichella, Danielle Gonzalez, Mehdi Mirakhorli:
DeepTC-Enhancer: Improving the Readability of Automatically Generated Tests. ASE 2020: 287-298 - [c54]Mitchell Olsthoorn, Arie van Deursen, Annibale Panichella:
Generating Highly-structured Input Data by Combining Search-based Testing and Grammar-based Fuzzing. ASE 2020: 1224-1228 - [c53]Pouria Derakhshanfar, Xavier Devroey, Annibale Panichella, Andy Zaidman, Arie van Deursen:
Botsing, a Search-based Crash Reproduction Framework for Java. ASE 2020: 1278-1282 - [c52]Carolin E. Brandt, Annibale Panichella, Andy Zaidman, Moritz Beller:
LogChunks: A Data Set for Build Log Analysis. MSR 2020: 583-587 - [e1]Aldeida Aleti, Annibale Panichella:
Search-Based Software Engineering - 12th International Symposium, SSBSE 2020, Bari, Italy, October 7-8, 2020, Proceedings. Lecture Notes in Computer Science 12420, Springer 2020, ISBN 978-3-030-59761-0 [contents] - [d1]Pouria Derakhshanfar, Xavier Devroey, Andy Zaidman, Arie van Deursen, Annibale Panichella:
Replication package of "Good Things Come In Threes: Improving Search-based Crash Reproduction With Helper Objectives". Zenodo, 2020 - [i11]Pouria Derakhshanfar, Xavier Devroey, Annibale Panichella, Andy Zaidman, Arie van Deursen:
Towards Integration-Level Test Case Generation Using Call Site Information. CoRR abs/2001.04221 (2020) - [i10]Burak Yildiz, Hayley Hung, Jesse H. Krijthe, Cynthia C. S. Liem, Marco Loog, Gosia Migut, Frans A. Oliehoek, Annibale Panichella, Przemyslaw Pawelczak, Stjepan Picek, Mathijs de Weerdt, Jan van Gemert:
ReproducedPapers.org: Openly teaching and structuring machine learning reproducibility. CoRR abs/2012.01172 (2020) - [i9]Cynthia C. S. Liem, Annibale Panichella:
Run, Forest, Run? On Randomization and Reproducibility in Predictive Software Engineering. CoRR abs/2012.08387 (2020)
2010 – 2019
- 2019
- [j15]Sadeeq Jan, Annibale Panichella, Andrea Arcuri, Lionel C. Briand:
Search-based multi-vulnerability testing of XML injections in web applications. Empir. Softw. Eng. 24(6): 3696-3729 (2019) - [j14]Sadeeq Jan, Annibale Panichella, Andrea Arcuri, Lionel C. Briand:
Correction to: Search-based multi-vulnerability testing of XML injections in web applications. Empir. Softw. Eng. 24(6): 3730 (2019) - [j13]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) - [j12]Moritz Beller, Georgios Gousios, Annibale Panichella, Sebastian Proksch, Sven Amann, Andy Zaidman:
Developer Testing in the IDE: Patterns, Beliefs, and Behavior. IEEE Trans. Software Eng. 45(3): 261-284 (2019) - [j11]Sadeeq Jan, Annibale Panichella, Andrea Arcuri, Lionel C. Briand:
Automatic Generation of Tests to Exploit XML Injection Vulnerabilities in Web Applications. IEEE Trans. Software Eng. 45(4): 335-362 (2019) - [c51]Annibale Panichella:
An adaptive evolutionary algorithm based on non-euclidean geometry for many-objective optimization. GECCO 2019: 595-603 - [c50]Annibale Panichella:
Beyond unit-testing in search-based test case generation: challenges and opportunities. SBST@ICSE 2019: 7-8 - [c49]José Campos, Annibale Panichella, Gordon Fraser:
EvoSuiTE at the SBST 2019 tool competition. SBST@ICSE 2019: 29-32 - [c48]Maria Kechagia, Xavier Devroey, Annibale Panichella, Georgios Gousios, Arie van Deursen:
Effective and efficient API misuse detection via exception propagation and search-based testing. ISSTA 2019: 192-203 - [c47]Dimitri Michel Stallenberg, Annibale Panichella:
JCOMIX: a search-based tool to detect XML injection vulnerabilities in web applications. ESEC/SIGSOFT FSE 2019: 1090-1094 - [c46]Annibale Panichella:
A Systematic Comparison of Search Algorithms for Topic Modelling - A Study on Duplicate Bug Report Identification. SSBSE 2019: 11-26 - [i8]Giovanni Grano, Christoph Laaber, Annibale Panichella, Sebastiano Panichella:
Testing with Fewer Resources: An Adaptive Approach to Performance-Aware Test Case Generation. CoRR abs/1907.08578 (2019) - [i7]Donghwan Shin, Salma Messaoudi, Domenico Bianculli, Annibale Panichella, Lionel C. Briand, Raimondas Sasnauskas:
Scalable Inference of System-level Models from Component Logs. CoRR abs/1908.02329 (2019) - [i6]Qianqian Zhu, Andy Zaidman, Annibale Panichella:
How to kill them all: an exploratory study on the impact of code observability on mutation testing. PeerJ Prepr. 7: e27794 (2019) - 2018
- [j10]Annibale Panichella, Fitsum Meshesha Kifetew, Paolo Tonella:
A large scale empirical comparison of state-of-the-art search-based test case generators. Inf. Softw. Technol. 104: 236-256 (2018) - [j9]Qianqian Zhu, Annibale Panichella, Andy Zaidman:
A systematic literature review of how mutation testing supports quality assurance processes. Softw. Test. Verification Reliab. 28(6) (2018) - [j8]Dennis Appelt, Cu D. Nguyen, Annibale Panichella, Lionel C. Briand:
A Machine-Learning-Driven Evolutionary Approach for Testing Web Application Firewalls. IEEE Trans. Reliab. 67(3): 733-757 (2018) - [j7]Annibale Panichella, Fitsum Meshesha Kifetew, Paolo Tonella:
Automated Test Case Generation as a Many-Objective Optimisation Problem with Dynamic Selection of the Targets. IEEE Trans. Software Eng. 44(2): 122-158 (2018) - [j6]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) - [c45]Urko Rueda Molina, Fitsum Meshesha Kifetew, Annibale Panichella:
Java unit testing tool competition: sixth round. SBST@ICSE 2018: 22-29 - [c44]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 - [c43]Jeroen Castelein, Maurício Finavaro Aniche, Mozhan Soltani, Annibale Panichella, Arie van Deursen:
Search-based test data generation for SQL queries. ICSE 2018: 1220-1230 - [c42]Qianqian Zhu, Annibale Panichella, Andy Zaidman:
An Investigation of Compression Techniques to Speed up Mutation Testing. ICST 2018: 274-284 - [c41]Salma Messaoudi, Annibale Panichella, Domenico Bianculli, Lionel C. Briand, Raimondas Sasnauskas:
A search-based approach for accurate identification of log message formats. ICPC 2018: 167-177 - [c40]Raja Ben Abdessalem, Annibale Panichella, Shiva Nejati, Lionel C. Briand, Thomas Stifter:
Testing autonomous cars for feature interaction failures using many-objective search. ASE 2018: 143-154 - [c39]Annibale Panichella, Fitsum Meshesha Kifetew, Paolo Tonella:
Incremental Control Dependency Frontier Exploration for Many-Criteria Test Case Generation. SSBSE 2018: 309-324 - [c38]Mozhan Soltani, Pouria Derakhshanfar, Annibale Panichella, Xavier Devroey, Andy Zaidman, Arie van Deursen:
Single-objective Versus Multi-objectivized Optimization for Evolutionary Crash Reproduction. SSBSE 2018: 325-340 - 2017
- [c37]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 - [c36]Annibale Panichella, Urko Rueda Molina:
Java Unit Testing Tool Competition - Fifth Round. SBST@ICSE 2017: 32-38 - [c35]Mozhan Soltani, Annibale Panichella, Arie van Deursen:
A guided genetic algorithm for automated crash reproduction. ICSE 2017: 209-220 - [c34]Qianqian Zhu, Annibale Panichella, Andy Zaidman:
Speeding-Up Mutation Testing via Data Compression and State Infection. ICST Workshops 2017: 103-109 - [c33]Dennis Appelt, Annibale Panichella, Lionel C. Briand:
Automatically Repairing Web Application Firewalls Based on Successful SQL Injection Attacks. ISSRE 2017: 339-350 - [c32]Annibale Panichella, Fitsum Meshesha Kifetew, Paolo Tonella:
LIPS vs MOSA: A Replicated Empirical Study on Automated Test Case Generation. SSBSE 2017: 83-98 - [c31]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 - [c30]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
- [c29]Annibale Panichella, Carol V. Alexandru, Sebastiano Panichella, Alberto Bacchelli, Harald C. Gall:
A Search-based Training Algorithm for Cost-aware Defect Prediction. GECCO 2016: 1077-1084 - [c28]Mozhan Soltani, Annibale Panichella, Arie van Deursen:
Evolutionary testing for crash reproduction. SBST@ICSE 2016: 1-4 - [c27]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 - [c26]Moritz Beller, Igor Levaja, Annibale Panichella, Georgios Gousios, Andy Zaidman:
How to catch 'em all: WatchDog, a family of IDE plug-ins to assess testing. SER&IP@ICSE 2016: 53-56 - [c25]Sebastiano Panichella, Annibale Panichella, Moritz Beller, Andy Zaidman, Harald C. Gall:
The impact of test case summaries on bug fixing performance: an empirical investigation. ICSE 2016: 547-558 - [c24]Carmine Vassallo, Fiorella Zampetti, Daniele Romano, Moritz Beller, Annibale Panichella, Massimiliano Di Penta, Andy Zaidman:
Continuous Delivery Practices in a Large Financial Organization. ICSME 2016: 519-528 - [c23]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 - [c22]Fabio Palomba, Annibale Panichella, Andrea De Lucia, Rocco Oliveto, Andy Zaidman:
A textual-based technique for Smell Detection. ICPC 2016: 1-10 - [c21]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 - [i5]Sebastiano Panichella, Annibale Panichella, Moritz Beller, Andy Zaidman, Harald C. Gall:
The impact of test case summaries on bug fixing performance: An empirical investigation. PeerJ Prepr. 4: e1467 (2016) - [i4]Qianqian Zhu, Annibale Panichella, Andy Zaidman:
A systematic literature review of how mutation testing supports test activities. PeerJ Prepr. 4: e2483 (2016) - [i3]Qianqian Zhu, Annibale Panichella, Andy Zaidman:
Speeding-up mutation testing via data compression and state infection. PeerJ Prepr. 4: e2632 (2016) - 2015
- [j5]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) - [j4]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) - [c20]Annibale Panichella, Andrea De Lucia, Andy Zaidman:
Adaptive User Feedback for IR-Based Traceability Recovery. SST@ICSE 2015: 15-21 - [c19]Annibale Panichella, Fitsum Meshesha Kifetew, Paolo Tonella:
Results for EvoSuite - MOSA at the Third Unit Testing Tool Competition. SBST@ICSE 2015: 28-31 - [c18]Roberto Carbone, Luca Compagna, Annibale Panichella, Serena Elisa Ponta:
Security Threat Identification and Testing. ICST 2015: 1-8 - [c17]Annibale Panichella, Fitsum Meshesha Kifetew, Paolo Tonella:
Reformulating Branch Coverage as a Many-Objective Optimization Problem. ICST 2015: 1-10 - [c16]Moritz Beller, Georgios Gousios, Annibale Panichella, Andy Zaidman:
When, how, and why developers (do not) test in their IDEs. ESEC/SIGSOFT FSE 2015: 179-190 - [c15]Dario Di Nucci, Annibale Panichella, Andy Zaidman, Andrea De Lucia:
Hypervolume-Based Search for Test Case Prioritization. SSBSE 2015: 157-172 - [i2]Carol V. Alexandru, Annibale Panichella, Sebastiano Panichella, Alberto Bacchelli, Harald C. Gall:
Smart learning: A search-based approach to rank change and defect prone classes. PeerJ Prepr. 3: e1160 (2015) - [i1]Sebastiano Panichella, Annibale Panichella, Moritz Beller, Andy Zaidman, Harald C. Gall:
The impact of test case summaries on bug fixing performance: An empirical investigation. PeerJ Prepr. 3: e1467 (2015) - 2014
- [j3]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) - [c14]Annibale Panichella, Rocco Oliveto, Andrea De Lucia:
Cross-project defect prediction models: L'Union fait la force. CSMR-WCRE 2014: 164-173 - 2013
- [j2]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) - [j1]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) - [c13]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 - [c12]Gabriele Bavota, Andrea De Lucia, Rocco Oliveto, Annibale Panichella, Fabio Ricci, Genoveffa Tortora:
The role of artefact corpus in LSI-based traceability recovery. TEFSE@ICSE 2013: 83-89 - [c11]Bogdan Dit, Annibale Panichella, Evan Moritz, Rocco Oliveto, Massimiliano Di Penta, Denys Poshyvanyk, Andrea De Lucia:
Configuring topic models for software engineering tasks in TraceLab. TEFSE@ICSE 2013: 105-109 - [c10]Annibale Panichella, Bogdan Dit, Rocco Oliveto, Massimiliano Di Penta, Denys Poshyvanyk, Andrea De Lucia:
How to effectively use topic models for software engineering tasks? an approach based on genetic algorithms. ICSE 2013: 522-531 - [c9]Gerardo Canfora, Andrea De Lucia, Massimiliano Di Penta, Rocco Oliveto, Annibale Panichella, Sebastiano Panichella:
Multi-objective Cross-Project Defect Prediction. ICST 2013: 252-261 - [c8]Fitsum Meshesha Kifetew, Annibale Panichella, Andrea De Lucia, Rocco Oliveto, Paolo Tonella:
Orthogonal exploration of the search space in evolutionary test case generation. ISSTA 2013: 257-267 - 2012
- [c7]Andrea De Lucia, Massimiliano Di Penta, Rocco Oliveto, Annibale Panichella:
Estimating the evolution direction of populations to improve genetic algorithms. GECCO 2012: 617-624 - [c6]Andrea De Lucia, Massimiliano Di Penta, Rocco Oliveto, Annibale Panichella:
On the role of diversity measures for multi-objective test case selection. AST 2012: 145-151 - [c5]Gabriele Bavota, Luigi Colangelo, Andrea De Lucia, Sabato Fusco, Rocco Oliveto, Annibale Panichella:
TraceME: Traceability Management in Eclipse. ICSM 2012: 642-645 - [c4]Andrea De Lucia, Massimiliano Di Penta, Rocco Oliveto, Annibale Panichella, Sebastiano Panichella:
Using IR methods for labeling source code artifacts: Is it worthwhile? ICPC 2012: 193-202 - 2011
- [c3]Andrea De Lucia, Massimiliano Di Penta, Rocco Oliveto, Annibale Panichella, Sebastiano Panichella:
Improving IR-based Traceability Recovery Using Smoothing Filters. ICPC 2011: 21-30
2000 – 2009
- 2009
- [c2]Giovanni Capobianco, Andrea De Lucia, Rocco Oliveto, Annibale Panichella, Sebastiano Panichella:
On the role of the nouns in IR-based traceability recovery. ICPC 2009: 148-157 - [c1]Giovanni Capobianco, Andrea De Lucia, Rocco Oliveto, Annibale Panichella, Sebastiano Panichella:
Traceability Recovery Using Numerical Analysis. WCRE 2009: 195-204
Coauthor Index
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