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TypeScript has rapidly become a popular language for modern web development, yet its effect on software faults remains poorly understood. This paper presents the first large-scale empirical study of bugs in real-world TypeScript projects.…

Software Engineering · Computer Science 2026-01-30 TianYi Tang , Saba Alimadadi , Nick Sumner

We report our experience of using failure symptoms, such as error messages or stack traces, to identify flaky test failures in a Continuous Integration (CI) pipeline for a large industrial software system, SAP HANA. Although failure…

Software Engineering · Computer Science 2023-11-07 Gabin An , Juyeon Yoon , Thomas Bach , Jingun Hong , Shin Yoo

Web end-to-end (e2e) testing evaluates the workflow of a web application. It simulates real-world user scenarios to ensure the application flows behave as expected. However, web e2e tests are notorious for being flaky, i.e., the tests can…

Software Engineering · Computer Science 2024-05-21 Xinyue Liu , Zihe Song , Weike Fang , Wei Yang , Weihang Wang

Software testing assures that code changes do not adversely affect existing functionality. However, a test case can be flaky, i.e., passing and failing across executions, even for the same version of the source code. Flaky test cases…

Software Engineering · Computer Science 2022-09-02 Sakina Fatima , Taher A. Ghaleb , Lionel Briand

Modern code review is a widely used technique employed in both industrial and open-source projects to improve software quality, share knowledge, and ensure adherence to coding standards and guidelines. During code review, developers may…

Software Engineering · Computer Science 2022-03-29 Eman Abdullah AlOmar , Moataz Chouchen , Mohamed Wiem Mkaouer , Ali Ouni

The democratization of open-source Large Language Models (LLMs) allows users to fine-tune and deploy models on local infrastructure but exposes them to a First Mile deployment landscape. Unlike black-box API consumption, the reliability of…

Software Engineering · Computer Science 2026-01-21 Guangba Yu , Zirui Wang , Yujie Huang , Renyi Zhong , Yuedong Zhong , Yilun Wang , Michael R. Lyu

Deep Learning (DL) models have rapidly advanced, focusing on achieving high performance through testing model accuracy and robustness. However, it is unclear whether DL projects, as software systems, are tested thoroughly or functionally…

Software Engineering · Computer Science 2024-02-27 Han Wang , Sijia Yu , Chunyang Chen , Burak Turhan , Xiaodong Zhu

Cloud computing systems fail in complex and unforeseen ways due to unexpected combinations of events and interactions among hardware and software components. These failures are especially problematic when they are silent, i.e., not…

Software Engineering · Computer Science 2023-01-19 Domenico Cotroneo , Luigi De Simone , Pietro Liguori , Roberto Natella

Continuous integration (CI) tools integrate code changes by automatically compiling, building, and executing test cases upon submission of code changes. Use of CI tools is getting increasingly popular, yet how proprietary projects reap the…

Software Engineering · Computer Science 2018-09-17 Akond Rahman , Amritanshu Agrawal , Rahul Krishna , Alexander Sobran

Flaky tests that non-deterministically pass or fail waste developer time and slow release cycles. While large language models (LLMs) show promise for automatically repairing flaky tests, existing approaches like FlakyDoctor fail in…

Software Engineering · Computer Science 2025-11-19 Chengpeng Li , Farnaz Behrang , August Shi , Peng Liu

The popularity of continuous integration (CI) is increasing as a result of market pressure to release product features or updates frequently. The ability of CI to deliver quality at speed depends on reliable test automation. In this paper,…

Software Engineering · Computer Science 2022-02-10 Yuqing Wang , Mika Mäntylä , Zihao Liu , Jouni Markkula

Background: Despite the widespread use of automated security defect detection tools, software projects still contain many security defects that could result in serious damage. Such tools are largely context-insensitive and may not cover all…

Software Engineering · Computer Science 2023-07-06 Jiaxin Yu , Liming Fu , Peng Liang , Amjed Tahir , Mojtaba Shahin

Flaky tests are problematic because they non-deterministically pass or fail for the same software version under test, causing confusion and wasting development effort. While machine learning models have been used to predict flakiness and…

Software Engineering · Computer Science 2024-10-08 Sakina Fatima , Hadi Hemmati , Lionel Briand

Code review is a popular practice where developers critique each others' changes. Since automated builds can identify low-level issues (e.g., syntactic errors, regression bugs), it is not uncommon for software organizations to incorporate…

Software Engineering · Computer Science 2023-08-22 Rungroj Maipradit , Dong Wang , Patanamon Thongtanunam , Raula Gaikovina Kula , Yasutaka Kamei , Shane McIntosh

Open source software (OSS) generates trillions of dollars in economic value and has become essential to the technical infrastructures that power organizations worldwide. As these systems increasingly depend on OSS, understanding the…

Software Engineering · Computer Science 2026-01-06 Elijah Kayode Adejumo , Mariam Guizani , Brittany Johnson

Open-source libraries are widely used by software developers to speed up the development of products, however, they can introduce security vulnerabilities, leading to incidents like Log4Shell. With the expanding usage of open-source…

Code Review plays a crucial role in software quality, by allowing reviewers to discuss and critique any new patches before they can be successfully integrated into the project code. Yet, it is unsure the extent to which coding pattern…

Software Engineering · Computer Science 2021-03-17 Panyawut Sri-iesaranusorn , Raula Gaikovina Kula , Takashi Ishio

Nowadays, several software systems rely on stream processing architectures to deliver scalable performance and handle large volumes of data in near real-time. Stream processing frameworks facilitate scalable computing by distributing the…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-05-30 Adriano Vogel , Sören Henning , Esteban Perez-Wohlfeil , Otmar Ertl , Rick Rabiser

Performance benchmarking is a common practice in software engineering, particularly when building large-scale, distributed, and data-intensive systems. While cloud environments offer several advantages for running benchmarks, it is often…

Software Engineering · Computer Science 2025-04-17 Sören Henning , Adriano Vogel , Esteban Perez-Wohlfeil , Otmar Ertl , Rick Rabiser

Refactoring is a common practice in software development, aimed at improving the internal code structure in order to make it easier to understand and modify. Consequently, it is often assumed that refactoring makes the code less prone to…

Software Engineering · Computer Science 2025-05-14 Isabella Ferreira , Lawrence Arkoh , Anderson Uchôa , Ana Carla Bibiano , Alessandro Garcia , Wesley K. G. Assunção