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For large software applications, running the whole test suite after each code change is time- and resource-intensive. Regression test selection techniques aim at reducing test execution time by selecting only the tests that are affected by…

Software Engineering · Computer Science 2025-04-29 Sijia Gu , Ali Mesbah

Regression testing is an essential activity to assure that software code changes do not adversely affect existing functionalities. With the wide adoption of Continuous Integration (CI) in software projects, which increases the frequency of…

Software Engineering · Computer Science 2022-09-07 Rongqi Pan , Mojtaba Bagherzadeh , Taher A. Ghaleb , Lionel Briand

Lean processes focus on doing only necessery things in an efficient way. Artificial intelligence and Machine Learning offer new opportunities to optimizing processes. The presented approach demonstrates an improvement of the test process by…

Software Engineering · Computer Science 2019-06-10 Alexander Poth , Quirin Beck , Andreas Riel

Change-based testing is a key component of continuous integration at Facebook. However, a large number of tests coupled with a high rate of changes committed to our monolithic repository make it infeasible to run all potentially-impacted…

Software Engineering · Computer Science 2019-05-31 Mateusz Machalica , Alex Samylkin , Meredith Porth , Satish Chandra

Regression testing is an important part of quality control in both software and embedded products, where hardware is involved. It is also one of the most expensive and time consuming part of the product cycle. To improve the cost…

Software Engineering · Computer Science 2019-10-24 Tri Quach , Tommi Oinonen , Antti Karjalainen

There is a growing body of research indicating the potential of machine learning to tackle complex software testing challenges. One such challenge pertains to continuous integration testing, which is highly time-constrained, and generates a…

Software Engineering · Computer Science 2022-04-26 Dusica Marijan

State-of-the-art machine learning often follows a two-stage process: $(i)$~pre-training on large, general-purpose datasets; $(ii)$~fine-tuning on task-specific data. In fine-tuning, selecting training examples that closely reflect the…

Machine Learning · Computer Science 2025-10-02 Ayush Jain , Andrea Montanari , Eren Sasoglu

Over the last years, machine learning techniques have been applied to more and more application domains, including software engineering and, especially, software quality assurance. Important application domains have been, e.g., software…

Software Engineering · Computer Science 2021-04-30 Safa Omri , Carsten Sinz

Finetuning foundation models for specific tasks is an emerging paradigm in modern machine learning. The efficacy of task-specific finetuning largely depends on the selection of appropriate training data. We present TSDS (Task-Specific Data…

Machine Learning · Computer Science 2024-12-30 Zifan Liu , Amin Karbasi , Theodoros Rekatsinas

The practice of unit testing enables programmers to obtain automated feedback on whether a currently edited program is consistent with the expectations specified in test cases. Feedback is most valuable when it happens immediately, as…

Software Engineering · Computer Science 2020-02-21 Toni Mattis , Robert Hirschfeld

Estimating software testability can crucially assist software managers to optimize test budgets and software quality. In this paper, we propose a new approach that radically differs from the traditional approach of pursuing testability…

Software Engineering · Computer Science 2023-08-01 Luca Guglielmo , Leonardo Mariani , Giovanni Denaro

Skin lesion analysis models are biased by artifacts placed during image acquisition, which influence model predictions despite carrying no clinical information. Solutions that address this problem by regularizing models to prevent learning…

Computer Vision and Pattern Recognition · Computer Science 2023-08-11 Alceu Bissoto , Catarina Barata , Eduardo Valle , Sandra Avila

Constrained random test generation is one of the most widely adopted methods for generating stimuli for simulation-based verification. Randomness leads to test diversity, but tests tend to repeatedly exercise the same design logic.…

Hardware Architecture · Computer Science 2022-10-18 Nyasha Masamba , Kerstin Eder , Tim Blackmore

In modern software engineering, Continuous Integration (CI) has become an indispensable step towards systematically managing the life cycles of software development. Large companies struggle with keeping the pipeline updated and…

Software Engineering · Computer Science 2020-12-22 João Lousada , Miguel Ribeiro

Testing in Continuous Integration (CI) involves test case prioritization, selection, and execution at each cycle. Selecting the most promising test cases to detect bugs is hard if there are uncertainties on the impact of committed code…

Software Engineering · Computer Science 2018-11-13 Helge Spieker , Arnaud Gotlieb , Dusica Marijan , Morten Mossige

Regression testing ensures a System Under Test (SUT) still works as expected after changes to it. The simplest approach for regression testing consists of re-running the entire test suite against the changed version of the SUT. However,…

Software testing is an essential part of the software lifecycle and requires a substantial amount of time and effort. It has been estimated that software developers spend close to 50% of their time on testing the code they write. For these…

Software Engineering · Computer Science 2020-02-20 Cody Watson , Michele Tufano , Kevin Moran , Gabriele Bavota , Denys Poshyvanyk

Regression testing of software is a crucial but time-consuming task, especially in the context of user interface (UI) testing where multiple microservices must be validated simultaneously. Test case prioritization (TCP) is a cost-efficient…

Software Engineering · Computer Science 2024-08-02 Hieu Huynh , Nhu Pham , Tien N. Nguyen , Vu Nguyen

Unit testing is one of the most established quality-assurance techniques for software development. One major advantage of unit testing is the adjustable trade-off between efficiency (i.e., testing effort) and effectiveness (i.e.,…

Software Engineering · Computer Science 2022-07-27 Sebastian Ruland , Malte Lochau

Cutting plane methods play a significant role in modern solvers for tackling mixed-integer programming (MIP) problems. Proper selection of cuts would remove infeasible solutions in the early stage, thus largely reducing the computational…

Optimization and Control · Mathematics 2021-10-11 Zeren Huang , Kerong Wang , Furui Liu , Hui-ling Zhen , Weinan Zhang , Mingxuan Yuan , Jianye Hao , Yong Yu , Jun Wang
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