2,847 papers · page 77 of 143
While deep learning is an exciting new technique, the benefits of this method need to be assessed with respect to its computational cost. This is particularly important for deep learning since these learners need hours (to weeks) to train the model. Such long training time limits…
Collecting quality data from software projects can be time-consuming and expensive. Hence, some researchers explore "unsupervised" approaches to quality prediction that does not require labelled data. An alternate technique is to use "supervised" approaches that learn models from…
This paper defines software fairness and discrimination and develops a testing-based method for measuring if and how much software discriminates, focusing on causality in discriminatory behavior. Evidence of software discrimination has been found in modern software systems that r…
Software reference architectures provide templates and guidelines for designing systems in a particular domain. Companies use them to achieve interoperability of (parts of) their software, standardization, and faster development. In contrast to system-specific software architectu…
Query languages for big data analysis provide user extensibility through a mechanism of user-defined operators (UDOs). These operators allow programmers to write proprietary functionalities on top of a relational query skeleton. However, achieving effective query optimization for…
In this paper we present the design and implementation of a distributed, whole-program static analysis framework that is designed to scale with the size of the input. Our approach is based on the actor programming model and is deployed in the cloud. Our reliance on a cloud cluste…
Agile Development values working software over documentation. Therefore, in maintenance stages of existing software, the source code is the sole software artifact that developers have for analyzing the viability and impact of a new user story. Since functionality is often spread …
Although a wide variety of approaches identify vulnerabilities in Android apps, none attempt to determine exploitability of those vulnerabilities. Exploitability can aid in reducing false positives of vulnerability analysis, and can help engineers triage bugs. Specifically, one o…
Feature-oriented software design is a useful paradigm for building and reasoning about highly-configurable software. By making variability explicit, feature-oriented tools and languages make program analysis tasks easier, such as bug-finding, maintenance, and more. But critical s…
An established way to steal the income of app developers, or to trick users into installing malware, is the creation of repackaged apps. These are clones of - typically - successful apps. To conceal their nature, they are often obfuscated by their creators. But, given that it is …
Model-driven software engineering raises the abstraction level making complex systems easier to understand than if written in textual code. Nevertheless, large complicated software systems can have large models, motivating the need for slicing techniques that reduce the size of a…
Humans often mistake the meaning of source code, and so misjudge a program's true behavior. These mistakes can be caused by extremely small, isolated patterns in code, which can lead to significant runtime errors. These patterns are used in large, popular software projects and ev…
Software-intensive systems often consist of cooperating reactive components. In mobile and reconfigurable systems, their topology changes at run-time, which influences how the components must cooperate. The Scenario Modeling Language (SML) offers a formal approach for specifying …
Data race is a major source of concurrency bugs. Dynamic data race detection tools (e.g., FastTrack) monitor the execu-tions of a program to report data races occurring in runtime. However, such tools incur significant overhead that slows down and perturbs executions. To address …
Programmable logic controllers (PLCs) are specialized computers for automating a wide range of cyber-physical systems. Since these systems are often safety-critical, software running on PLCs need to be free of programming errors. However, automated tools for testing PLC software …
Microservice-based systems enable the independent development, deployment, and scalability for separate system components of enterprise applications. A significant aspect during development is the microservice integration in frontends of web, mobile, and desktop applications. One…
Current statistical language modeling techniques, including deep-learning based models, have proven to be quite effective for source code. We argue here that the special properties of source code can be exploited for further improvements. In this work, we enhance established lang…
Continuous integration (CI) systems automate the compilation, building, and testing of software. Despite CI being a widely used activity in software engineering, we do not know what motivates developers to use CI, and what barriers and unmet needs they face. Without such knowledg…
ING Bank, a large Netherlands-based internationally operating bank, implemented a fully automated continuous delivery pipeline for its software engineering activities in more than 300 teams, that perform more than 2500 deployments to production each month on more than 750 differe…
It is a cliche to say that there is a gap between research and practice. As the interest and importance in the practical impact of research has been growing, the gap between research and practice is expected to be narrowing. However, our study reveals that there still seems to be…