3,458 papers · page 39 of 173
Advances in technologies like artificial intelligence and metaverse have led to a proliferation of software systems in business and everyday life. With this widespread penetration, the carbon emissions of software are rapidly growing as well, thereby negatively impacting the long…
Autoscaling functions provide the foundation for achieving elasticity in the modern cloud computing paradigm. It enables dynamic provisioning or de-provisioning resources for cloud software services and applications without human intervention to adapt to workload fluctuations. Ho…
Mini-programs (MiniApps), lightweight versions of full-featured mobile apps that run inside a host app such as WeChat, have become increasingly popular due to their simplified and convenient user experiences. However, MiniApps raise new security and privacy concerns as they can a…
The performance of state-of-the-art Deep Learning models heavily depends on the availability of well-curated training and testing datasets that sufficiently capture the operational domain. Data augmentation is an effective technique in alleviating data scarcity, reducing the time…
With the continuous improvement of artificial intelligence technology, autonomous driving technology has been greatly developed. Hence automated driving software has drawn more and more attention from both researchers and practitioners. Code clone is a commonly used to speed up t…
In object-oriented design, class specifications are primarily used to express properties describing the intended behavior of the class methods and constraints on class' objects. Although the presence of these specifications is important for various software engineering tasks such…
Computational notebooks have become the go-to way for solving data-science problems. While they are designed to combine code and documentation, prior work shows that documentation is largely ignored by the developers because of the manual effort. Automated documentation generatio…
Large Language Models (LLMs) are being quickly integrated in a myriad of software applications. This may introduce a number of biases, such as gender, age or ethnicity, in the behavior of such applications. To face this challenge, we explore the automatic generation of tests suit…
Software ecosystems (e.g., npm, PyPI) are the backbone of modern software developments. Developers add new packages to ecosystems every day to solve new problems or provide alternative solutions, causing obsolete packages to decline in their importance to the community. Packages …
Code is often reused to facilitate collaborative development, to create software variants, to experiment with new ideas, or to develop new features in isolation. Social-coding platforms, such as GitHub, enable enhanced code reuse with forking, pull requests, and cross-project tra…
Recognizing software entities such as library names from free-form text is essential to enable many software engineering (SE) technologies, such as traceability link recovery, automated documentation, and API recommendation. While many approaches have been proposed to address thi…
Software vulnerabilities damage the functionality of software systems. Recently, many deep learning-based approaches have been proposed to detect vulnerabilities at the function level by using one or a few different modalities (e.g., text representation, graph-based representatio…
Just-In- Time defect prediction models can identify defect-inducing commits at check-in time and many approaches are proposed with remarkable performance. However, these approaches still have a few limitations which affect their effectiveness and practical usage: (1) partially us…
Program analysis techniques such as abstract interpretation and symbolic execution suffer from imprecision due to over- and underapproximation, which results in false alarms and missed violations. To alleviate this imprecision, we propose a novel data structure, program state pro…
With the climate crisis looming, engineering sustainable software systems become crucial to optimize resource utilization, minimize environmental impact, and foster a greener, more resilient digital ecosystem. For developers, getting access to automated tools that analyze code an…
Formal specifications are widely used in software testing approaches, while writing such specifications is a time-consuming job. Recently, a number of methods have been proposed to mine specifications from execution traces, typically in the form of linear temporal logic (LTL). Ho…
Python is a popular dynamic programming language, evidenced by its ranking as the second most commonly used language on GitHub. However, its dynamic type system can lead to potential type errors, leading researchers to explore automatic type inference approaches for Python progra…
Recent breakthroughs in Large Language Models (LLM), comprised of billions of parameters, have achieved the ability to unveil exceptional insight into a wide range of Natural Language Processing (NLP) tasks. The onus of the performance of these models lies in the sophistication a…
A major threat to distributed software systems' reliability is vicious cycles, which are observed when an event in the distributed software system's execution causes a system degradation, and the degradation, in turn, causes more of such events. Vicious cycles often result in lar…
Software developers often struggle to update APIs, leading to manual, time-consuming, and error-prone processes. We introduce Melt, a new approach that generates lightweight API migration rules directly from pull requests in popular library repositories. Our key insight is that p…