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Beller, M. (author), Gousios, G. (author), Panichella, A. (author), Zaidman, A.E. (author)The research community in Software Engineering and Software Testing in particular builds many of its contributions on a set of mutually shared expectations. Despite the fact that they form the basis of many publications as well as open-source and commercial testing applications, these common expectations and beliefs are rarely ever questioned....conference paper 2015
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Beller, M. (author), Levaja, I. (author), Panichella, A. (author), Gousios, G. (author), Zaidman, A.E. (author)As software engineering researchers, we are also zealous tool smiths. Building a research prototype is often a daunting task, let alone building an industry-grade family of tools supporting multiple platforms to ensure the generalizability of results. In this paper, we give advice to academic and industrial tool smiths on how to design and build...conference paper 2016
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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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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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van Meerten, M.C. (author), Kulahcioglu Ozkan, Burcu (author), Panichella, A. (author)Blockchain systems are prone to concurrency bugs due to the nondeterminism in the delivery order of messages between the distributed nodes. These bugs are hard to detect since they can only be triggered by a specific order or timing of concurrent events in the execution. <br/>Systematic concurrency testing techniques, which explore all possible...conference paper 2023
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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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Applis, L.H. (author), Panichella, A. (author), Marang, R.J. (author)More machine learning (ML) models are introduced to the field of Software Engineering (SE) and reached a stage of maturity to be considered for real-world use; But the real world is complex, and testing these models lacks often in explainability, feasibility and computational capacities. Existing research introduced meta-morphic testing to...conference paper 2023
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Panichella, A. (author), Di Domenico, Giuseppe (author)Spatial mode division de-multiplexing of optical signals has many real-world applications, such as quantum computing and both classical and quantum optical communication. In this context, it is crucial to develop devices able to efficiently sort optical signals according to the optical mode they belong to and route them on different paths....conference paper 2023
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- Palomba, F. (author), Panichella, A. (author), Zaidman, A.E. (author), Oliveto, Rocco (author), De Lucia, Andrea (author) conference paper 2018
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Messaoudi, Salma (author), Panichella, A. (author), Bianculli, Domenico (author), Briand, Lionel (author), Sasnauskas, Raimondas (author)Many software engineering activities process the events contained in log files. However, before performing any processing activity, it is necessary to parse the entries in a log file, to retrieve the actual events recorded in the log. Each event is denoted by a log message, which is composed of a fixed part—called (event) template—that is the...conference paper 2018
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Veldkamp, L.S. (author), Olsthoorn, Mitchell (author), Panichella, A. (author)Web Application Programming Interfaces (APIs) allow systems to be addressed programmatically and form the backbone of the internet. RESTful and RPC APIs are among the most common API architectures used. In the last decades, researchers have proposed various techniques for automated testing of RESTful APIs, however, to the best of the authors'...conference paper 2023
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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
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Applis, L.H. (author), Panichella, A. (author)We present HasBugs, an extensible and manually-curated dataset of real-world 25 Haskell Bugs from 6 open source repositories. We provide a faulty, tested, and fixed version of each bug in our dataset with reproduction packages, description, and bug context. For technical users, the dataset is meant to either help researchers adapt techniques...conference paper 2023
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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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Yildiz, B. (author), Hung, H.S. (author), Krijthe, J.H. (author), Liem, C.C.S. (author), Loog, M. (author), Migut, M.A. (author), Oliehoek, F.A. (author), Panichella, A. (author), Pawełczak, Przemysław (author), Picek, S. (author), de Weerdt, M.M. (author), van Gemert, J.C. (author)We present ReproducedPapers.org : an open online repository for teaching and structuring machine learning reproducibility. We evaluate doing a reproduction project among students and the added value of an online reproduction repository among AI researchers. We use anonymous self-assessment surveys and obtained 144 responses. Results suggest...conference paper 2021
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van Dinten, I. (author), Zaidman, A.E. (author), Panichella, A. (author)Test case prioritization techniques have emerged as effective strategies to optimize this process and mitigate the regression testing costs. Commonly, black-box heuristics guide optimal test ordering, leveraging information retrieval (e.g., cosine distance) to measure the test case distance and sort them accordingly. However, a challenge...conference paper 2023
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Panichella, A. (author)Latent Dirichlet Allocation (LDA) has been used to support many software engineering tasks. Previous studies showed that default settings lead to sub-optimal topic modeling with a dramatic impact on the performance of such approaches in terms of precision and recall. For this reason, researchers used search algorithms (e.g., genetic...conference paper 2019
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Di Nucci, Dario (author), Panichella, A. (author), Zaidman, A.E. (author), De Lucia, Andrea (author)Test case prioritization (TCP) is aimed at finding an ideal ordering for executing the available test cases to reveal faults earlier. To solve this problem greedy algorithms and meta-heuristics have been widely investigated, but in most cases there is no statistically significant difference between them in terms of effectiveness. The fitness...conference paper 2015