4,951 papers · page 70 of 248
Recent analyses[2, 4, 5] report that many sectors of our economy and society are more and more guided by data-driven decision processes (e.g., health care, public administrations, etc.). As such, Data Intensive (DI) applications are becoming more and more important and critical. …
Web Application Programming Interfaces (APIs) specify how to access services and data over the network, typically using Web services. Web APIs are rapidly proliferating as a key element to foster reusability, integration, and innovation, enabling new consumption models such as mo…
Many testing and benchmarking scenarios in software and systems engineering depend on the systematic generation of graph models. For instance, tool qualification necessitated by safety standards would require a large set of consistent (well-formed or malformed) instance models sp…
Applications (apps) that conceal their activities are fundamentally deceptive; app marketplaces and end-users should treat such apps as suspicious. However, due to its nature and intent, activity concealing is not disclosed up-front, which puts users at risk. In this paper, we fo…
Motivation: Code search is an important activity in software development since developers are regularly searching [6] for code examples dealing with diverse programming concepts, APIs, and specific platform peculiarities. To help developers search for source code, several Interne…
The prevalence of design problems may cause re-engineering or even discontinuation of the system. Due to missing, informal or outdated design documentation, developers often have to rely on the source code to identify design problems. Therefore, developers have to analyze differe…
Automated testing is considered an essential process for ensuring software quality. However, writing and maintaining high-quality test code is challenging and frequently considered of secondary importance. For production code, many open source and industrial software projects emp…
Recent studies suggest that well-known OSS projects struggle to find the needed workforce to continue evolving---in part because external developers fail to overcome their first contribution barriers. In this paper, we investigate how and why quasi-contributors (external develope…
This research investigates how object-oriented inheritance is actually used in practice. The aim is to close the gap between inheritance guidance and inheritance practice. It is based on detailed analyses of 2440 inheritance hierarchies drawn from 14 open-source systems. The orig…
Given a program P that exhibits a certain property Ψ (e.g., a C program that crashes GCC when it is being compiled), the goal of program reduction is to minimize P to a smaller variant P′ that still exhibits the same property, i.e., Ψ(P′). Program reduction is important and widel…
Android apps are omnipresent, and frequently suffer from crashes --- leading to poor user experience and economic loss. Past work focused on automated test generation to detect crashes in Android apps. However, automated repair of crashes has not been studied. In this paper, we p…
Recent advances in Deep Neural Networks (DNNs) have led to the development of DNN-driven autonomous cars that, using sensors like camera, LiDAR, etc., can drive without any human intervention. Most major manufacturers including Tesla, GM, Ford, BMW, and Waymo/Google are working o…
Static analysis tools have demonstrated effectiveness at finding bugs in real world code. Such tools are increasingly widely adopted to improve software quality in practice. Automated Program Repair (APR) has the potential to further cut down on the cost of improving software qua…
Symbolic execution is a powerful program analysis technique that systematically explores multiple program paths. However, despite important technical advances, symbolic execution often struggles to reach deep parts of the code due to the well-known path explosion problem and cons…
In fast-paced, reuse-heavy, and distributed software development, the transparency provided by social coding platforms like GitHub is essential to decision making. Developers infer the quality of projects using visible cues, known as signals, collected from personal profile and r…
Refactoring detection algorithms have been crucial to a variety of applications: (i) empirical studies about the evolution of code, tests, and faults, (ii) tools for library API migration, (iii) improving the comprehension of changes and code reviews, etc. However, recent researc…
Popularity of data-driven software engineering has led to an increasing demand on the infrastructures to support efficient execution of tasks that require deeper source code analysis. While task optimization and parallelization are the adopted solutions, other research directions…
As a software system evolves, its test suite can accumulate redundancies over time. Test minimization aims at removing redundant test cases. However, current techniques remove whole test cases from the test suite using test adequacy criteria, such as code coverage. This has two l…
Software licenses dictate how source code or binaries can be modified, reused, and redistributed. In the case of open source projects, software licenses generally fit into two main categories, permissive and restrictive, depending on the degree to which they allow redistribution …
Concolic testing integrates concrete execution (e.g., random testing) and symbolic execution for test case generation. It is shown to be more cost-effective than random testing or symbolic execution sometimes. A concolic testing strategy is a function which decides when to apply …