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Zhang, H. (author), Cruz, Luis (author), van Deursen, A. (author)
The popularity of machine learning has wildly expanded in recent years. Machine learning techniques have been heatedly studied in academia and applied in the industry to create business value. However, there is a lack of guidelines for code quality in machine learning applications. In particular, code smells have rarely been studied in this...
conference paper 2022
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Shome, A. (author), Cruz, Luis (author), van Deursen, A. (author)
The adoption of Artificial Intelligence (AI) in high-stakes domains such as healthcare, wildlife preservation, autonomous driving and criminal justice system calls for a data-centric approach to AI. Data scientists spend the majority of their time studying and wrangling the data, yet tools to aid them with data analysis are lacking. This...
conference paper 2022
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Poenaru-Olaru, L. (author), Cruz, Luis (author), van Deursen, A. (author), Rellermeyer, Jan S. (author)
As machine learning models increasingly replace traditional business logic in the production system, their lifecycle management is becoming a significant concern. Once deployed into production, the machine learning models are constantly evaluated on new streaming data. Given the continuous data flow, shifting data, also known as concept drift,...
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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Maddila, C.S. (author), Shanbhogue, Suhas (author), Agrawal, Apoorva (author), Zimmermann, Thomas (author), Bansal, Chetan (author), Forsgren, Nicole (author), Agrawal, Divyanshu (author), Herzig, Kim (author), van Deursen, A. (author)
Software development is information-dense knowledge work that requires collaboration with other developers and awareness of artifacts such as work items, pull requests, and file changes. With the speed of development increasing, information overload and information discovery are challenges for people developing and maintaining these systems....
conference paper 2022
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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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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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Kula, E. (author), van Deursen, A. (author), Gousios, G. (author)
In agile software development, proper team structures and effort estimates are crucial to ensure the on-time delivery of software projects. Delivery performance can vary due to the influence of changes in teams, resulting in team dynamics that remain largely unexplored. In this paper, we explore the effects of various aspects of teamwork on...
conference paper 2021
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Derakhshanfar, P. (author), Devroey, Xavier (author), Perrouin, Gilles (author), Zaidman, A.E. (author), van Deursen, A. (author)
This is an extended abstract of the article: Pouria Derakhshanfar, Xavier Devroey, Gilles Perrouin, Andy Zaidman and Arie van Deursen. 2019. Search-based crash reproduction using behavioural model seeding. In: Software Testing, Verification and Reliability (May 2020). http://doi.org/10.1002/stvr.1733.
conference paper 2021
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Barros Cândido, J. (author), Haesen, Jan (author), Aniche, Maurício (author), van Deursen, A. (author)
Logging is a development practice that plays an important role in the operations and monitoring of complex systems. Developers place log statements in the source code and use log data to understand how the system behaves in production. Unfortunately, anticipating where to log during development is challenging. Previous studies show the...
conference paper 2021
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Siachamis, G. (author), Houben, G.J.P.M. (author), van Deursen, A. (author), Katsifodimos, A (author)
Data Integration has been a long-standing and challenging problem for enterprises and researchers. Data residing in multiple heterogeneous sources must be integrated and prepared such that the valuable information that it carries, can be extracted and analysed. However, the volume and the velocity of the produced data in addition to the modern...
conference paper 2021
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van Oort, B. (author), Cruz, Luis (author), Aniche, Maurício (author), van Deursen, A. (author)
Artificial Intelligence (AI) and Machine Learning (ML) are pervasive in the current computer science landscape. Yet, there still exists a lack of software engineering experience and best practices in this field. One such best practice, static code analysis, can be used to find code smells, i.e., (potential) defects in the source code,...
conference paper 2021
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Anderson, K.S. (author), van den Berg, Tom (author), van Deursen, A. (author)
Background: experimentation is widely adopted within industry. Many large organisations have invested in their own infrastructure to be able to run experiments server-side. Objective: we wanted to investigate why organisations switch to server-side experimen- tation and which challenges they encounter in doing so. Method: a qualitative virtual...
conference paper 2020
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Huijgens, H.K.M. (author), Rastogi, A. (author), Mulders, E.A. (author), Gousios, G. (author), van Deursen, A. (author)
In 2014, a Microsoft study investigated the sort of questions that data science applied to software engineering should answer. This resulted in 145 questions that developers considered relevant for data scientists to answer, thus providing a research agenda to the community. Fast forward to five years, no further studies investigated whether the...
conference paper 2020
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Derakhshanfar, P. (author), Devroey, Xavier (author), Zaidman, A.E. (author), van Deursen, A. (author), Panichella, A. (author)
Evolutionary-based crash reproduction techniques aid developers in their debugging practices by generating a test case that reproduces a crash given its stack trace. In these techniques, the search process is typically guided by a single search objective called Crash Distance. Previous studies have shown that current approaches could only...
conference paper 2020
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Derakhshanfar, P. (author), Devroey, Xavier (author), Panichella, A. (author), Zaidman, A.E. (author), van Deursen, A. (author)
Approaches for automatic crash reproduction aim to generate test cases that reproduce crashes starting from the crash stack traces. These tests help developers during their debugging practices. One of the most promising techniques in this research field leverages search-based software testing techniques for generating crash reproducing test...
conference paper 2020
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Derakhshanfar, P. (author), Devroey, Xavier (author), Zaidman, A.E. (author), van Deursen, A. (author), Panichella, A. (author)
Writing a test case reproducing a reported software crash is a common practice to identify the root cause of an anomaly in the software under test. However, this task is usually labor-intensive and time-taking. Hence, evolutionary intelligence approaches have been successfully applied to assist developers during debugging by generating a test...
conference paper 2020
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Olsthoorn, Mitchell (author), van Deursen, A. (author), Panichella, A. (author)
Software testing is an important and time-consuming task that is often done manually. In the last decades, researchers have come up with techniques to generate input data (e.g., fuzzing) and automate the process of generating test cases (e.g., search-based testing). However, these techniques are known to have their own limitations: search-based...
conference paper 2020
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Aniche, Maurício (author), Hermans, F.F.J. (author), van Deursen, A. (author)
Software testing is an important topic in software engineering education, and yet highly challenging from an educational perspective: students are required to learn several testing techniques, to be able to distinguish the right technique to apply, to evaluate the quality of their test suites, and to write maintainable test code. In this paper,...
conference paper 2019
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Schipper, Daan (author), Aniche, Maurício (author), van Deursen, A. (author)
Logs are widely used as a source of information to understand the activity of computer systems and to monitor their health and stability. However, most log analysis techniques require the link between the log messages in the raw log file and the log statements in the source code that produce them. Several solutions have been proposed to solve...
conference paper 2019
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