3,458 papers · page 51 of 173
Despite great success in many applications, deep neural networks are not always robust in practice. For instance, a convolutional neuron network (CNN) model for classification tasks often performs unsatisfactorily in classifying some particular classes of objects. In this work, w…
Optical character recognition (OCR) algorithms often run slow. They may take several seconds to recognize the texts on a GUI screen, which makes OCR-based widget localization in test automation unfriendly for use, especially on GPU-free computers. This paper first concludes a com…
Virtual Reality (VR) technology has been utilized in other fields besides gaming, such as education, training, arts, shopping, and e-commerce. However, the technical support of VR software is not growing as fast as its market size, especially for testing. Because of the immersive…
As software systems continue to grow in complexity and scale, deploying and delivering them becomes increasingly difficult. In this work, we develop DeployQA, a novel QA bot that automatically answers software deployment questions over user manuals and Stack Overflow posts. Deplo…
Quality assurance is of great importance for deep learning (DL) systems, especially when they are applied in safety-critical applications. While quality issues of native DL applications have been extensively analyzed, the issues of JavaScript-based DL applications have never been…
While the emerging Augmented Reality (AR) technique allows a lot of new application opportunities, from education and communication to gaming, current augmented apps often have complaints about their usability and/or user experience due to placement errors of virtual objects. The…
Communication nondeterminism is one of the main reasons for the intractability of verification of message passing concurrency. In many practical message passing programs, the non-deterministic communication structure is symmetric and decomposed into epochs to obtain efficiency. T…
Infrastructure-as-Code (IaC) is a technology that enables the management and distribution of infrastructure through code instead of manual processes. In 2020, Palo Alto Network’s Unit 42 announced the discovery of over 199K vulnerable IaC templates through their “Cloud Threat” Re…
Machine learning (ML) systems based on deep neural networks are more present than ever in software solutions for numerous industries. Their inner workings relying on models learning with data are as helpful as they are mysterious for non-expert people. There is an increasing need…
Debugging, that is, identifying and fixing bugs in software, is a central part of software development. Developers are therefore often confronted with the task of deciding whether a given code snippet contains a bug, and if yes, where. Recently, data-driven methods have been empl…
Many organizations seek to increase their agility in order to deliver more timely and competitive products. However, in safety-critical systems such as medical devices, autonomous vehicles, or factory floor robots, the release of new features has the potential to introduce hazard…
This article introduces the E-MANAFA energy profiler, a plug-and-play, device-independent, model-based profiler capable of obtaining fine-grained energy measurements on Android devices. Besides having the capability to calculate performance metrics such as the energy consumed and…
We share our experience in developing Code Understanding Linter, an automated code review tool based on language models of code. We introduce several ideas to make the tool be more practical, including combining two different language models, filtering meaningless outputs from th…
Infrastructure as Code (IaC) is the process of managing IT infrastructure via programmable configuration files (also called IaC scripts). Like other software artifacts, IaC scripts may contain security smells, which are coding patterns that can result in security weaknesses. Auto…
Accessibility is a critical software quality affecting more than 15% of the world’s population with some form of disabilities. Modern mobile platforms, i.e., iOS and Android, provide guidelines and testing tools for developers to assess the accessibility of their apps. The main f…
Toxic and unhealthy conversations during the developer’s communication may reduce the professional harmony and productivity of Free and Open Source Software (FOSS) projects. For example, toxic code review comments may raise pushback from an author to complete suggested changes. A…
Since toxicity during developers’ interactions in open source software (OSS) projects show negative impacts on developers’ relation, a toxicity detector for the Software Engineering (SE) domain is needed. However, prior studies found that contemporary toxicity detection tools per…
Question answering (QA) software uses information retrieval and natural language processing techniques to automatically answer questions posed by humans in a natural language. Like other AI-based software, QA software may contain bugs. To automatically test QA software without hu…
Web applications are attractive attack targets given their popularity and large number of vulnerabilities. To mitigate the threat of web vulnerabilities, an important piece of information is their affected versions. However, it is non-trivial to build accurate affected version in…
Although large pre-trained models of code have delivered significant advancements in various code processing tasks, there is an impediment to the wide and fluent adoption of these powerful models in software developers’ daily workflow: these large models consume hundreds of megab…