In today's IT world, where most companies focus on sustainable development, reducing the carbon footprint should be an essential part of the Software Development Lifecycle (SDLC). Companies rely heavily on open-source libraries in enterprise ecosystems, ...

Recently, many Deep Learning (DL) fuzzers have been proposed for API-level testing of DL libraries. However, they either perform unguided input generation (e.g., not considering the relationship between API arguments when generating inputs) or only ...

Data clones are defined as multiple copies of the same data among datasets. The presence of data clones between datasets can cause issues such as difficulties in managing data assets and data license violations when using datasets with clones to build AI ...

Unit tests must be readable to help developers understand and evolve production code. Most existing test quality metrics assess test code’s ability to detect bugs. Few metrics focus on test code’s readability. One standard approach to improve readability ...

Developers deal with code-change-related tasks daily, e.g., reviewing code. Pre-trained code and code-change-oriented models have been adapted to help developers with such tasks. Recently, large language models (LLMs) have shown their effectiveness in ...

Large Language Models (LLMs) have become instrumental in advancing software engineering (SE) tasks, showcasing their efficacy in code understanding and beyond. AI code models has demonstrated their value not only in code generating but also in defect ...

Deep Learning (DL) is a class of machine learning algorithms that are used in a wide variety of applications. Like any software system, DL programs can have bugs. To support bug localization in DL programs, several tools have been proposed in the past. As ...

The rapid growth and popularity of large language model (LLM) app stores have created new opportunities and challenges for researchers, developers, users, and app store managers. As the LLM app ecosystem continues to evolve, it is crucial to understand ...

Comments play a crucial role in code comprehension and maintenance. This is particularly vital when the code is changed, as comments should be promptly updated to maintain consistency between the code and the comments. Existing comment update methods ...

Background: Code-line-level bugginess identification (CLBI) is an important area within software quality assurance, aiming to pinpoint potential buggy source code lines in a given software product. Recently, two concurrent approaches, GLANCE and ...

With the rapid advancement of automated driving technology, numerous manufacturers deploy vehicles with auto-driving features. This highlights the importance of ensuring the quality of automated driving software. To achieve this, characterizing bugs in ...

APIs have intricate relations that can be described in text and represented as knowledge graphs to aid software engineering tasks. Existing relation extraction methods have limitations, such as limited API text corpus, and are affected by the ...

We present an approach to lift position-independent x86-64 binaries to symbolized NASM. Symbolization is a decompilation step that enables binary patching: functions can be modified, and instructions can be interspersed. Moreover, it is the first ...

We present a method for assessing the temporal severity associated with software vulnerabilities by analyzing reported vulnerability data. Data from various platforms is collected and curated to define specific vulnerability features and historical ...

Software vulnerabilities are present in most software applications. However, vulnerability detection techniques usually suffer from the same issues: reporting items that are not actual vulnerabilities or not detecting all vulnerabilities. There are ...

Methods should be named to summarize their responsibilities meaningfully. When a method has a non-trivial responsibility, it may require a naming using multiple words. However, overlong method names are susceptible to typos and reduced readability (e.g., ...

Automated software debugging plays a crucial role in aiding software developers to swiftly identify and attempt to rectify faults, thereby significantly reducing developers’ workload. Previous researches have predominantly relied on simplistic semantic ...

Microservices architecture improves software scalability, resilience, and agility but also poses significant challenges to system reliability due to their complexity and dynamic nature. Identifying and resolving anomalies promptly is crucial because they ...

Blockchain technology has rapidly emerged with a multitude of applications, among which smart contracts have garnered considerable attention. Smart contracts represent a promising solution for streamlining trade and business transactions between untrusted ...

Modern scientific software in high performance computing is often complex, and many parallel applications and libraries depend on several other software or libraries. Developers and users of such complex software often use package managers for building ...