26,098 papers · page 149 of 1,305
Just-in-time defect prediction (JIT-DP) is used to predict the defect-proneness of a commit and just-in-time defect localization (JIT-DL) is used to locate the exact buggy positions (defective lines) in a commit. Recently, various JIT-DP and JIT-DL techniques have been proposed, …
While mutation testing has been a topic of academic interest for decades, it is only recently that “real-world” developers, including industry leaders such as Google and Meta, have adopted mutation testing. We propose a new approach to the development of mutation testing tools, a…
Predicting failures in production environments allows service providers to activate countermeasures that prevent harming the users of the applications. The most successful approaches predict failures from error states that the current approaches identify from anomalies in time se…
Software developers often repeat the same code changes within a project or across different projects. These repetitive changes are known as “code change patterns” (CPATs). Automating CPATs is crucial to expedite the software development process. While current Transformation by Ex…
With the development of the open source community, the code is often copied, spread, and evolved in multiple software systems, which brings uncertainty and risk to the software system (e.g., bug propagation and copyright infringement). Therefore, it is important to conduct code c…
Modern programming languages promote software reuse via package managers that facilitate the integration of inter-dependent software libraries. Software reuse comes with the challenge of dependency bloat , which refers to unneeded and excessive code incorporated into a project th…
Deep Neural Networks (DNN) have emerged as an effective approach to tackling real-world problems. However, like human-written software, DNNs are susceptible to bugs and attacks. This has generated significant interest in developing effective and scalable DNN verification techniqu…
Informal natural language that describes code functionality, such as code comments or function documentation, may contain substantial information about a program’s intent. However, there is typically no guarantee that a program’s implementation and natural language documentation …
Decompilation is a process of converting a low-level machine code snippet back into a high-level programming language such as C. It serves as a basis to aid reverse engineers in comprehending the contextual semantics of the code. In this respect, commercial decompilers like Hex-R…
Software chatbots are growing in popularity and have been increasingly used in software projects due to their benefits in saving time, cost, and effort. At the core of every chatbot is a Natural Language Understanding (NLU) component that enables chatbots to comprehend the users’…
A package’s source code repository records the package’s development history, which is critical for the use and risk monitoring of the package. However, a package release often misses its source code repository due to the separation of the package’s development platform from its …
Learning and predicting the performance of given software configurations are of high importance to many software engineering activities. While configurable software systems will almost certainly face diverse running environments (e.g., version, hardware, and workload), current wo…
SQL is the most commonly used front-end language for data-intensive scalable computing (DISC) applications due to its broad presence in new and legacy workflows and shallow learning curve. However, DISC-backed SQL introduces several layers of abstraction that significantly reduce…
In infrastructure as code (IaC), state reconciliation is the process of querying and comparing the infrastructure state prior to changing the infrastructure. As state reconciliation is pivotal to manage IaC-based computing infrastructure at scale, defects related to state reconci…
Static analyzers are playing crucial roles in helping find programming mistakes and security vulnerabilities. The correctness of their analysis results is crucial for the usability in practice. Otherwise, the potential defects in these analyzers (e.g., implementation errors, impr…
Unit testing is widely recognized as an essential aspect of the software development process. Generating high-quality assertions automatically is one of the most important and challenging problems in automatic unit test generation. To generate high-quality assertions, deep-learni…
Large language models (LLMs) have shown impressive effectiveness in various software engineering tasks, including automated program repair (APR). In this study, we take a deep dive into automated bug localization and repair utilizing LLMs. In contrast to many deep learning-based …
Neural Code Completion Tools (NCCTs) have reshaped the field of software engineering, which are built upon the language modeling technique and can accurately suggest contextually relevant code snippets. However, language models may emit the training data verbatim during inference…
Distributed tracing has been widely adopted in many microservice systems and plays an important role in monitoring and analyzing the system. However, trace data often come in large volumes, incurring substantial computational and storage costs. To reduce the quantity of traces, t…
The eBPF technology in the Linux kernel has been widely adopted for different applications, such as networking, tracing, and security, thanks to the programmability it provides. By allowing user-supplied eBPF programs to be executed directly in the kernel, it greatly increases th…