4,951 papers · page 26 of 248
To ensure compilers' quality, compiler testing has received more and more attention, and test-program generation is the core task. In recent years, some approaches have been proposed to explore test configurations for generating more effective test programs, but they either are r…
The ability to navigate the Web via the keyboard interface is critical to people with various types of disabilities. However, modern websites often violate web accessibility guidelines for keyboard navigability with respect to web dialogs. In this paper, we present a novel approa…
Autonomous systems rely on a perception component to interpret their surroundings, and when misinterpretations occur, they can and have led to serious and fatal system-level failures. Yet, existing methods for testing perception software remain limited in both their capacity to e…
The automatic generation of source code is one of the long-lasting dreams in software engineering research. Several techniques have been proposed to speed up the writing of new code. For example, code completion techniques can recommend to developers the next few tokens they are …
Mass assignment is one of the most prominent vulnerabilities in RESTful APIs that originates from a misconfiguration in common web frameworks. This allows attackers to exploit naming convention and automatic binding to craft malicious requests that (massively) override data suppo…
The use of learning-based techniques to achieve automated software vulnerability detection has been of longstanding interest within the software security domain. These data-driven solutions are enabled by large software vulnerability datasets used for training and benchmarking. H…
Smalltalk, one of the first object-oriented programming languages, has had a tremendous influence on the evolution of computer technology. Due to the simplicity and productivity provided by the language, Smalltalk is still in active use today by many companies with large legacy c…
The significance of logs has been widely acknowledged with the adoption of various log analysis techniques that assist in software engineering tasks. Many log analysis techniques require structured logs as input while raw logs are typically unstructured. Automated log parsing is …
Recent research has shown that developers hesitate to update dependencies and mistrust automated approaches such as Dependabot, since they are afraid of introducing incompatibilities that break their project. In fact, such approaches only suggest naïve updates for a single outdat…
Because of the naturalness of software and the rapid evolution of Machine Learning (ML) techniques, frequently repeated code change patterns (CPATs) occur often. They range from simple API migrations to changes involving several complex control structures such as for loops. While…
Prior work shows that misleading logging texts (i.e., the textual descriptions in logging statements) can be counterproductive for developers during their use of logs. One of the most important types of information provided by logs is the temporal information of the recorded syst…
Commit messages summarize code changes and help developers understand the intention. To alleviate human efforts in writing commit messages, researchers have proposed various automated commit message generation techniques, among which learning-based techniques have achieved great …
Transactions are used to maintain the data integrity of databases, and have become an indispensable feature in modern Database Management Systems (DBMSs). Despite extensive efforts in testing DBMSs and verifying transaction processing mechanisms, isolation bugs still exist in wid…
By virtue of being prevalently written in natural language (NL), requirements are prone to various defects, e.g., inconsistency and incompleteness. As such, requirements are frequently subject to quality assurance processes. These processes, when carried out entirely manually, ar…
Large language models such as Codex, have shown the capability to produce code for many programming tasks. However, the success rate of existing models is low, especially for complex programming tasks. One of the reasons is that language models lack awareness of program semantics…
Deep learning techniques have shown promising performance in automated software maintenance tasks associated with bug reports. Currently, all existing studies learn the customized representation of bug reports for a specific downstream task. Despite early success, training multip…
Due to the importance of Android app quality assurance, many automated GUI testing tools have been developed. Although the test algorithms have been improved, the impact of GUI rendering has been overlooked. On the one hand, setting a long waiting time to execute events on fully …
Screen recordings of mobile applications are easy to capture and include a wealth of information, making them a popular mechanism for users to inform developers of the problems encountered in the bug reports. However, watching the bug recordings and efficiently understanding the …
App store-inspired elicitation is the practice of exploring competitors' apps, to get inspiration for requirements. This activity is common among developers, but little insight is available on its practical use, advantages and possible issues. This paper aims to empirically analy…
Developers want to detect bugs as early in the development lifecycle as possible, as the effort and cost to fix them increases with the incremental development of features. Ultimately, bugs that are only found in production can have catastrophic consequences. Type systems are eff…