3,458 papers · page 50 of 173
Names of classes/methods/variables play an important role in code readability. To investigate how developers choose names, Feitelson et al. conducted an empirical survey and suggested a method to improve naming quality. We replicated their study, but limited the survey subjects t…
Data science libraries are updated frequently, and new version releases commonly include breaking changes. These are updates that cause existing code to not compile or run. Developers often use older versions of libraries because it is challenging to update the source code of lar…
The rapid expansion of robotics relies on properly configuring and testing hardware and software. Due to the expense and hazard of real-world testing on hardware, robot system testing increasingly utilizes extensive simulation. Creating robot simulation tests requires specialized…
Deliberation is a common and natural behavior in human daily life. For example, when writing papers or articles, we usually first write drafts, and then iteratively polish them until satisfied. In light of such a human cognitive process, we propose DECOM, which is a multi-pass de…
Faults in spreadsheets are not uncommon and they can have significant negative consequences in practice. Various approaches for fault localization were proposed in recent years, among them techniques that transferred ideas from spectrum-based fault localization (SFL) to the sprea…
Test flakiness has been a common problem in the software automation testing, affecting the effectiveness and productivity of test automation. Many studies have been published to tackle test flakiness in the software research community, and existing test automation tools provide c…
Automatically producing behavioral exception (BE) API documentation helps developers correctly use the libraries. The state-of-the-art approaches are either rule-based, which is too restrictive in its applicability, or deep learning (DL)-based, which requires large training datas…
Microservices Architecture (MSA) has become a de-facto standard for designing cloud-native enterprise applications due to its efficient infrastructure setup, service availability, elastic scalability, dependability, and better security. Existing (monolithic) systems must be decom…
In this paper, we propose GameBlockchain, an open-source blockchain framework designed to support secure transactions of NFTs in modern computer games. Its purpose is to enable game industry stakeholders such as game developers, content creators, and regular gamers to create and …
Creating synthetic behaviors of vehicles in simulation applications has always been challenging from a development standpoint. First, it is a real challenge to create a credible and realistic simulation while achieving the required runtime efficiency. Second, the effort required …
[Background:] Automated Intelligent Toolchains, which are a composition of different tools that use AI or static analysis, are widely used in software engineering to deploy automated program repair techniques, or in software security to identify vulnerabilities. [Overall Research…
Sustainable software engineering has received a lot of attention in recent times, as we witness an ever-growing slice of energy use, for example, at data centers, as software systems utilize the underlying infrastructure. Characterizing servers for their energy use accurately wit…
More apps are published every day and the functionality of each app increases steadily as well. Consequently app analyses are often overwhelmed when confronted with up-to-date, real-world apps. One of the biggest issues originates from the scalability of analyses with respect to …
During code reviews, software developers often raise security concerns if they find any. Ignoring such concerns can bring a severe impact on the performance of a software product. This risk can be reduced if we can automatically identify such code reviews that trigger security co…
In the context of software development, managing and organizing agile boards of multi-disciplinary teams distributed around the world is a great challenge, especially regarding the process of assigning tickets to the correct team roles. Incorrectly assigned tickets can result in …
Presence monitoring or intrusion detection in a location/area are examples of decision-support applications. Decision-support applications are applications where monitoring is used to collect (heterogeneous) data and create situational awareness, which further requires decisions …
Software testing is a process of evaluating and verifying whether a software product still works as expected, and it is repetitive, laborious, and time-consuming. To address this problem, automation tools have been developed to automate testing activities and enhance quality and …
The process of creating test cases from requirements written in natural language (NL) requires intensive human efforts and can be tedious, repetitive, and error-prone. Thus, many studies have attempted to automate that process by utilizing Natural Language Processing (NLP) approa…
Fuzz testing (“fuzzing”) is a widely-used and effective dynamic technique to discover crashes and security vulnerabilities in software, supported by numerous tools, which keep improving in terms of their detection capabilities and speed of execution. In this paper, we report our …
Artificial diversification of a software program can be a versatile tool in a wide range of software engineering and security scenarios. For example, randomizing implementation aspects can increase the costs for attackers as it prevents them from benefiting of precise knowledge o…