2,847 papers · page 29 of 143
Software is constantly changing, requiring developers to perform several derived tasks in a timely manner, such as writing a description for the intention of the code change, or identifying the defect-prone code changes. Considering that the cost of dealing with these tasks can a…
In software development, it is common for programmers to copy-paste or port code snippets and then adapt them to their use case. This scenario motivates the code adaptation task – a variant of program repair which aims to adapt variable identifiers in a pasted snippet of code to …
Feature envy is one of the well-recognized code smells that should be removed by software refactoring. A major challenge in feature envy detection is that traditional approaches are less accurate whereas deep learning-based approaches are suffering from the lack of high-quality l…
Automated program repair relying on static analysis complements test-driven repair, since it does not require failing tests to repair a bug, and it avoids test-overfitting by considering program properties. Due to the rich variety and complexity of program analyses, existing stat…
The Cancer Registry of Norway (CRN) collects information on cancer patients by receiving cancer messages from different medical entities (e.g., medical labs, hospitals) in Norway. Such messages are validated by an automated cancer registry system: GURI. Its correct operation is c…
Benchmarking software testing tools against known bugs is a classic approach to evaluating the tools’ bug finding abilities. However, this approach is difficult to give some clues on the tool-missed bugs to aid diagnosing the testing tools. As a result, heavy and ad hoc manual an…
Smart contracts are programs that define rules for transactions running on blockchains. Since any qualified transaction sequence within the same block can be orchestrated by the blockchain miner, unexpected results may occur due to data races between transactions (called transact…
Prior work has developed numerous systems that test the security and safety of smart homes. For these systems to be applicable in practice, it is necessary to test them with realistic scenarios that represent the use of the smart home, i.e., home automation, in the wild. This dem…
Automatic query reformulation is a widely utilized technology for enriching user requirements and enhancing the outcomes of code search. It can be conceptualized as a machine translation task, wherein the objective is to rephrase a given query into a more comprehensive alternativ…
Mobile apps are increasingly used in daily activities. Most apps require Internet connectivity to be fully exploited. Despite the fact that global access to the Internet has improved over the years, there are still complex connectivity scenarios, including situations with zero/un…
SMT solvers are fundamental tools for reasoning about constraints in practical problems like symbolic execution and program synthesis. Faster SMT solving can improve the performance and precision of those analysis tools. Existing approaches typically speed up SMT solving by devel…
While lots of research has explored how to prevent maintainers from abandoning the open-source projects that serve as our digital infras- tructure, there are very few insights on addressing abandonment when it occurs. We argue open-source sustainability research must expand its f…
Raw developer output, as measured by the number of changes a developer makes to the system, is simplistic and potentially misleading measure of productivity as new developers tend to work on peripheral and experienced developers on more central parts of the system. In this work, …
The lack of diverse UI element representations in publicly available datasets hinders the scalability of sketch-based interactive mobile search. This paper introduces D2S2, a novel approach that addresses this limitation via drag-and-drop mobile screen search, accommodating visua…
Actor concurrency is becoming increasingly important in the real world and mission-critical software. This requires these applications to be free from actor bugs, that occur in the real world, and have tests that are effective in finding these bugs. Mutation testing is a well-est…
Abstract: Past research suggests software should be continuously maintained in order to remain useful in our digital society. To determine whether these studies on software evolution are supported in modern-day software libraries, we conduct a natural experiment on 26,050 GitHub …
Machine learning (ML) is increasingly being used in critical decision-making software, but incidents have raised questions about the fairness of ML predictions. To address this issue, new tools and methods are needed to mitigate bias in ML-based software. Previous studies have pr…
Testing with randomly generated inputs (fuzzing) has gained significant traction due to its capacity to expose program vulnerabilities automatically. Fuzz testing campaigns generate large amounts of data, making them ideal for the application of machine learning (ML). Neural prog…
Mutation testing has been demonstrated to be one of the most powerful fault-revealing tools in the tester's tool kit. Much previous work implicitly assumed it to be sufficient to re-compute mutant suites per release. Sadly, this makes mutation results inconsistent; mutant scores …
There has been some recent clamor about the developer layoff and turnover policies enacted by high-profile corporate executives. Precisely defining the contributions in software development has always been a thorny issue, as it is difficult to establish a developer’s “performance…