2,847 papers · page 37 of 143
Mentoring is traditionally viewed as a dyadic, top-down apprenticeship. This perspective, however, overlooks other forms of informal mentoring taking place in everyday activities in which developers invest time and effort. Here, we investigate informal mentoring taking place in O…
The most popular code review tools (e.g., Gerrit and GitHub) present the files to review sorted in alphabetical order. Could this choice or, more generally, the relative position in which a file is presented bias the outcome of code reviews? We investigate this hypothesis by tria…
Over the last years, the concept of API economy has fostered the creation of an ecosystem of public APIs used as business elements. These APIs include various pricing plans, which allow developers to consume an API for a specific price and under certain conditions. These conditio…
As software vulnerabilities grow in volume and complexity, researchers proposed various Artificial Intelligence (AI)-based approaches to help under-resourced security analysts to find, detect, and localize vulnerabilities. However, security analysts still have to spend a huge amo…
Logs are widely used for system behavior diagnosis by automatic log mining. Log parsing is an important data preprocessing step that converts semi-structured log messages into structured data as the feature input for log mining. Currently, many studies are devoted to proposing ne…
Member services are a core part of most online systems. For example, member services in online social networks and video platforms make it possible to serve users customized content or track their footprint for a recommendation. However, there is a dark side to membership that lu…
Improving software performance is an important yet challenging part of the software development cycle. Today, the majority of performance inefficiencies are identified and patched by performance experts. Recent advancements in deep learning approaches and the wide-spread availabi…
We introduce a novel approach to the automated termination analysis of computer programs: we use neural networks to represent ranking functions. Ranking functions map program states to values that are bounded from below and decrease as a program runs; the existence of a ranking f…
Identifying code authors is important in many research topics, and various approaches have been proposed. Although these approaches achieve promising results on their datasets, their true effectiveness is still in question. To the best of our knowledge, only one large-scale study…
Type annotations and gradual type checkers attempt to reveal errors and facilitate maintenance in dynamically typed programming languages. Despite the availability of these features and tools, it is currently unclear how quickly developers are adopting them, what strategies they …
Parallel fuzzing relies on hardware resources to guarantee test throughput and efficiency. In industrial practice, it is well known that parallel fuzzing faces the challenge of task division, but most works neglect the important process of corpus allocation. In this paper, we pro…
AI can enhance programming experiences for a diverse set of programmers: from professional developers and data scientists (proficient programmers) who need help in software engineering and data wrangling, all the way to spreadsheet users (low-code programmers) who need help in au…
As a popular Cyber-Physical System (CPS) development tool chain, MathWorks Simulink is widely used to prototype CPS models in safety-critical applications, e.g., aerospace and healthcare. It is crucial to ensure the correctness and reliability of Simulink compiler (i.e., the comp…
The behavior of command-line utilities can be very much influenced by passing command-line options and arguments—configuration settings that enable, disable, or otherwise influence parts of the code to be executed. Hence, systematic testing of command-line utilities requires test…
Industrial elevator systems are complex Cyber-Physical Systems operating in uncertain environments and experiencing uncertain passenger behaviors, hardware delays, and software errors. Identifying, understanding, and classifying such uncertainties are essential to enable system d…
To facilitate newcomer onboarding, GitHub recommends the use of "good first issue" (GFI) labels to signal issues suitable for newcomers to resolve. However, previous research shows that manually labeled GFIs are scarce and inappropriate, showing a need for automated recommendatio…
Logs are crucial to the management and maintenance of software systems. In recent years, log analysis research has achieved notable progress on various topics such as log parsing and log-based anomaly detection. However, the real voices from front-line practitioners are seldom he…
Code review is an effective quality assurance practice, but can be labor-intensive since developers have to manually review the code and provide written feedback. Recently, a Deep Learning (DL)-based approach was introduced to automatically recommend code review comments based on…
As User Reviews (URs) of mobile Apps are proven to provide valuable feedback for maintaining and evolving applications, how to make full use of URs more efficiently in the release cycle of mobile Apps has become a widely concerned and researched topic in the Software Engineering …
Automation of test oracles is one of the most challenging facets of software testing, but remains comparatively less addressed compared to automated test input generation. Test oracles rely on a ground-truth that can distinguish between the correct and buggy behavior to determine…