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Related papers: An Exploratory Study of Field Failures

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Bug fixing is a complex and time-consuming task in software development. Bug localization research tends to focus on the accuracy of automated tools that suggest source code files for developers to look at. However, little is known about…

Software Engineering · Computer Science 2026-05-07 Pablo Diaz Pedreira , Tamara Lopez , Michel Wermelinger

A fundamental challenge of software testing is the statistically well-grounded extrapolation from program behaviors observed during testing. For instance, a security researcher who has run the fuzzer for a week has currently no means (i) to…

Software Engineering · Computer Science 2018-04-05 Marcel Böhme

Testability is the probability whether tests will detect a fault, given that a fault in the program exists. How efficiently the faults will be uncovered depends upon the testability of the software. Various researchers have proposed…

Software Engineering · Computer Science 2013-08-16 Sujata Khatri , R. S. Chhillar , V. B. Singh

Machine learning has become prevalent across a wide variety of applications. Unfortunately, machine learning has also shown to be susceptible to deception, leading to errors, and even fatal failures. This circumstance calls into question…

Software Engineering · Computer Science 2022-05-03 Dusica Marijan , Arnaud Gotlieb

Static analysis is one of the most widely adopted techniques to find software bugs before code is put in production. Designing and implementing effective and efficient static analyses is difficult and requires high expertise, which results…

Software Engineering · Computer Science 2019-06-04 Andrew Habib , Michael Pradel

Dynamic languages are praised for their flexibility and expressiveness, but static analysis often yields many false positives and verification is cumbersome for lack of structure. Hence, unit testing is the prevalent incomplete method for…

Programming Languages · Computer Science 2015-02-06 Robert Jakob , Peter Thiemann

In order to plan for failure recovery, the designers of cloud systems need to understand how their system can potentially fail. Unfortunately, analyzing the failure behavior of such systems can be very difficult and time-consuming, due to…

Software Engineering · Computer Science 2022-03-09 Domenico Cotroneo , Luigi De Simone , Pietro Liguori , Roberto Natella , Nematollah Bidokhti

Reliable empirical models such as those used in software effort estimation or defect prediction are inherently dependent on the data from which they are built. As demands for process and product improvement continue to grow, the quality of…

Software Engineering · Computer Science 2021-06-14 Michael Franklin Bosu , Stephen G. MacDonell

Recent trends in the software development practices (Agile, DevOps, CI) have shortened the development life-cycle causing the need for efficient security-by-design approaches. In this context, software architectures are analyzed for…

Software Engineering · Computer Science 2019-06-06 Katja Tuma , Danial Hosseini , Kyriakos Malamas , Riccardo Scandariato

A recurring problem in software development is incorrect decision making on the techniques, methods and tools to be used. Mostly, these decisions are based on developers' perceptions about them. A factor influencing people's perceptions is…

Software Engineering · Computer Science 2024-02-13 Sira Vegas , Patricia Riofrio , Esperanza Marcos , Natalia Juristo

Software developers attempt to reproduce software bugs to understand their erroneous behaviours and to fix them. Unfortunately, they often fail to reproduce (or fix) them, which leads to faulty, unreliable software systems. However, to…

Software Engineering · Computer Science 2021-08-12 Mohammad Masudur Rahman , Foutse Khomh , Marco Castelluccio

Complex systems fail. I argue that failures can be a blueprint characterizing living organisms and biological intelligence, a control mechanism to increase complexity in evolutionary simulations, and an alternative to classical fitness…

Artificial Intelligence · Computer Science 2021-02-25 Lana Sinapayen

During the life cycle of software development, developers have to fix different kinds of bugs reported by testers or end users. The efficiency and effectiveness of fixing bugs have a huge impact on the reliability of the software as well as…

Software Engineering · Computer Science 2013-11-12 Jaechang Nam , Ning Chen

Fault Injection is the study of observing how systems behave under unusual stress, environmental or otherwise. In practice, fault injection involves testing the limits of computer systems and finding novel ways to potentially break…

Cryptography and Security · Computer Science 2025-09-24 Christopher Simon Liu , Fan Wang , Patrick Gould , Carter Yagemann

In games, and more generally in the field of software development, early detection of bugs is vital to maintain a high quality of the final product. Automated tests are a powerful tool that can catch a problem earlier in development by…

Machine Learning · Computer Science 2024-06-12 Leonardo Marini , Linus Gisslén , Alessandro Sestini

The performance of coverage-based fault localization greatly depends on the quality of test cases being executed. These test cases execute some lines of the given program and determine whether the underlying tests are passed or failed. In…

Software Engineering · Computer Science 2020-06-17 Shuvalaxmi Dass , Xiaozhen Xue , Akbar Siami Namin

Fault localization has been determined as a major resource factor in the software development life cycle. Academic fault localization techniques are mostly unknown and unused in professional environments. Although manual debugging…

Software Engineering · Computer Science 2021-03-04 Thomas Hirsch

Flaky tests have gained attention from the research community in recent years and with good reason. These tests lead to wasted time and resources, and they reduce the reliability of the test suites and build systems they affect. However,…

Software Engineering · Computer Science 2021-03-05 Alan Romano , Zihe Song , Sampath Grandhi , Wei Yang , Weihang Wang

Software often fails in the field, however reproducing and debugging field failures is very challenging: the failure-inducing input may be missing, and the program setup can be complicated and hard to reproduce by the developers. In this…

Software Engineering · Computer Science 2023-09-21 Ashwin Kallingal Joshy , Benjamin Steenhoek , Xiuyuan Guo , Wei Le

Background. Defect prediction has been a highly active topic among researchers in the Empirical Software Engineering field. Previous literature has successfully achieved the most accurate prediction of an incoming fault and identified the…

Software Engineering · Computer Science 2026-01-06 Mikel Robredo , Matteo Esposito , Fabio Palomba , Rafael Peñaloza , Valentina Lenarduzzi
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