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Birchler, Christian (author), Khatiri, Sajad (author), Derakhshanfar, P. (author), Panichella, Sebastiano (author), Panichella, A. (author)Testing with simulation environments helps to identify critical failing scenarios for self-driving cars (SDCs). Simulation-based tests are safer than in-field operational tests and allow detecting software defects before deployment. However, these tests are very expensive and are too many to be run frequently within limited time constraints...journal article 2023
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Derakhshanfar, P. (author), Devroey, Xavier (author), Panichella, A. (author), Zaidman, A.E. (author), van Deursen, A. (author)Search-based approaches have been used in the literature to automate the process of creating unit test cases. However, related work has shown that generated tests with high code coverage could be ineffective, i.e., they may not detect all faults or kill all injected mutants. In this paper, we propose Cling, an integration-level test case...journal article 2023
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Gissurarson, Matthías Páll (author), Applis, L.H. (author), Panichella, A. (author), van Deursen, A. (author), Sands, David (author)Automatic program repair (APR) regularly faces the challenge of overfitting patches — patches that pass the test suite, but do not actually address the problems when evaluated manually. Currently, overfit detection requires manual inspection or an oracle making quality control of APR an expensive task. With this work, we want to introduce...conference paper 2022
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Panichella, A. (author)A key idea in many-objective optimization is to approximate the optimal Pareto front using a set of representative non-dominated solutions. The produced solution set should be close to the optimal front (convergence) and well-diversified (diversity). Recent studies have shown that measuring both convergence and diversity depends on the shape (or...conference paper 2022
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Di Domenico, Giuseppe (author), Weisman, Dror (author), Panichella, A. (author), Roitman, Dolev (author), Arie, Ady (author)Spatial modes of light can be used as carriers of information in classical optical communication or as an alphabet in quantum optical communication. In order to exploit the spatial domain, it is required to (de)multiplex different modes from a shared input channel into different output ports. Mode sorters have been employed in free-space and...journal article 2022
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Panichella, A. (author), Panichella, Sebastiano (author), Fraser, Gordon (author), Sawant, Anand Ashok (author), Hellendoorn, Vincent (author)Test smells aim to capture design issues in test code that reduces its maintainability. These have been extensively studied and generally found quite prevalent in both human-written and automatically generated test-cases. However, most evidence of prevalence is based on specific static detection rules. Although those are based on the original,...journal article 2022
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Olsthoorn, Mitchell (author), van Deursen, A. (author), Panichella, A. (author)Transaction-reverting statements are key constructs within Solidity that are extensively used for authority and validity checks. Current state-of-the-art search-based testing and fuzzing approaches do not explicitly handle these statements and therefore can not effectively detect security vulnerabilities. In this paper, we argue that it is...conference paper 2022
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Olsthoorn, Mitchell (author), Stallenberg, D.M. (author), van Deursen, A. (author), Panichella, A. (author)Ethereum is the largest and most prominent smart contract platform. One key property of Ethereum is that once a contract is deployed, it can not be updated anymore. This increases the importance of thoroughly testing the behavior and constraints of the smart contract before deployment. Existing approaches in related work either do not scale or...conference paper 2022
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Devroey, Xavier (author), Gambi, Alessio (author), Galeotti, Juan Pablo (author), Just, René (author), Kifetew, Fitsum Meshesha (author), Panichella, Sebastiano (author), Panichella, A. (author)Researchers and practitioners have designed and implemented various automated test case generators to support effective software testing. Such generators exist for various languages (e.g., Java, C#, or Python) and various platforms (e.g., desktop, web, or mobile applications). The generators exhibit varying effectiveness and efficiency,...journal article 2022
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Stallenberg, D.M. (author), Olsthoorn, Mitchell (author), Panichella, A. (author)Search-based test case generation approaches make use of static type information to determine which data types should be used for the creation of new test cases. Dynamically typed languages like JavaScript, however, do not have this type information. In this paper, we propose an unsupervised probabilistic type inference approach to infer data...conference paper 2022
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Vogl, Sebastian (author), Schweikl, Sebastian (author), Fraser, Gordon (author), Arcuri, Andrea (author), Campos, José (author), Panichella, A. (author)EvoSuite is a search-based unit test generation tool for Java. This paper summarises the results and experiences of EvoSuite's participation at the ninth unit testing competition at SBST 2021, where EvoSuite achieved the highest overall score.conference paper 2021
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Lenarduzzi, Valentina (author), Panichella, A. (author)Testing serverless applications plays an important role in software quality assurance. The current status of testing and debugging in serverless-based applications depicted by the experts helped us highlight issues and challenges that need to be deeply investigated.journal article 2021
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Stallenberg, D.M. (author), Olsthoorn, Mitchell (author), Panichella, A. (author)With the ever-increasing use of web APIs in modern-day applications, it is becoming more important to test the system as a whole. In the last decade, tools and approaches have been proposed to automate the creation of system-level test cases for these APIs using evolutionary algorithms (EAs). One of the limiting factors of EAs is that the...conference paper 2021
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Applis, L.H. (author), Panichella, A. (author), van Deursen, A. (author)Metamorphic testing is a well-established testing technique that has been successfully applied in various domains, including testing deep learning models to assess their robustness against data noise or malicious input. Currently, metamorphic testing approaches for machine learning (ML) models focused on image processing and object recognition...conference paper 2021
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Schröder, C.J. (author), van der Feltz, Adriaan (author), Panichella, A. (author), Aniche, Maurício (author)Deciding what constitutes a single module, what classes belong to which module or the right set of modules for a specific software system has always been a challenging task. The problem is even harder in large-scale software systems composed of thousands of classes and hundreds of modules. Over the years, researchers have been proposing...conference paper 2021
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Panichella, A. (author), Liem, C.C.S. (author)Mutation testing is a well-established technique for assessing a test suite’s quality by injecting artificial faults into production code. In recent years, mutation testing has been extended to machine learning (ML) systems, and deep learning (DL) in particular; researchers have proposed approaches, tools, and statistically sound heuristics to...conference paper 2021
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Panichella, A. (author)Context: Latent Dirichlet Allocation (LDA) has been successfully used in the literature to extract topics from software documents and support developers in various software engineering tasks. While LDA has been mostly used with default settings, previous studies showed that default hyperparameter values generate sub-optimal topics from software...journal article 2021
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Zhu, Q. (author), Zaidman, A.E. (author), Panichella, A. (author)Mutation testing is well-known for its efficacy in assessing test quality, and starting to be applied in the industry. However, what should a developer do when confronted with a low mutation score? Should the test suite be plainly reinforced to increase the mutation score, or should the production code be improved as well, to make the...journal article 2021
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Olsthoorn, Mitchell (author), Panichella, A. (author)Test Case Selection (TCS) aims to select a subset of the test suite to run for regression testing. The selection is typically based on past coverage and execution cost data. Researchers have successfully used multi-objective evolutionary algorithms (MOEAs), such as NSGA-II and its variants, to solve this problem. These MOEAs use traditional...conference paper 2021
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Olsthoorn, Mitchell (author), Derakhshanfar, P. (author), Panichella, A. (author)State-of-the-art search-based approaches for test case generation work at test case level, where tests are represented as sequences of statements. These approaches make use of genetic operators (i.e., mutation and crossover) that create test variants by adding, altering, and removing statements from existing tests. While this encoding schema has...conference paper 2021