3,458 papers · page 62 of 173
Static bug detectors aim at helping developers to automatically find and prevent bugs. In this experience paper, we study the effectiveness of static bug detectors at identifying Null Pointer Dereferences or Null Pointer Exceptions (NPEs). NPEs pervade all programming domains fro…
Testing is one of the most important steps in software development–it ensures the quality of software. Continuous Integration (CI) is a widely used testing standard that can report software quality to the developer in a timely manner during development progress. Performance, espe…
Standard software analytics often involves having a large amount of data with labels in order to commission models with acceptable performance. However, prior work has shown that such requirements can be expensive, taking several weeks to label thousands of commits, and not alway…
Model-based testing is a structured method to test complex systems. Scaling up model-based testing to large systems requires improving the efficiency of various steps involved in testcase generation and more importantly, in test-execution. One of the most costly steps of model-ba…
The skyrocketing growth of mobile apps and mobile devices has significantly fueled the competition among app developers. They have leveraged the app store capabilities to analyse app data and identify app improvement opportunities. Existing research has shown that app developers …
Efficient representation of source code is essential for various software engineering tasks such as code classification and code clone detection. Most recent approaches for representing source code still use AST and do not leverage semantic graphs such as CFG and PDG. One effecti…
Selecting which libraries (‘dependencies’ or ‘packages’ in the industry’s jargon) to adopt in a project is an essential task in software development. The quality of the corresponding source code is a key factor behind this selection (from security to timeliness). Yet, how easy is…
The limitation of the current program synthesis method is that the synthesized program is small in scale and simple in logic. In this work, we introduce an effective program synthesis approach based on algorithm pseudocode. By parsing the pseudocode, critical information like con…
Automation in quantum software testing is essential to support systematic and cost-effective testing. Towards this direction, we present a quantum software testing tool called Quito that can automatically generate test suites covering three coverage criteria defined on inputs and…
Similarly to production code, code smells also occur in test code, where they are called test smells. Test smells have a detrimental effect not only on test code but also on the production code that is being tested. To date, the majority of the research on test smells has been fo…
Mutation analysis is a powerful dynamic approach that has many applications, such as measuring the quality of test suites or automatically locating faults. However, the inherent low scalability hampers its practical use. To accelerate mutation analysis, researchers propose approa…
For large-scale distributed systems, it is crucial to efficiently diagnose the root causes of incidents to maintain high system availability. The recent development of microservice architecture brings three major challenges (i.e., complexities of operation, system scale, and moni…
Comprehensive testing is of high importance to ensure the reliability of software systems, especially for systems with high stakes such as FinTech systems. In this paper, we share our observations of the Ant Group’s status quo in testing their financial services, specifically on …
Over the past few years, several quantum software stacks (QSS) have been developed in response to rapid hardware advances in quantum computing. A QSS includes a quantum programming language, an optimizing compiler that translates a quantum algorithm written in a high-level langua…
Software systems evolve continuously during their lifecycle. Developers incrementally introduce new features and fix bugs during the process, leading to lots of changes and artifacts accumulated. Driven by those rich data recorded in version control systems or issue trackers, lot…
Managing large and fast-evolving software systems can be a challenging task. Numerous solutions have been developed to assist in this process, enhancing software quality and reducing development costs. These techniques—e.g., regression test selection and change impact analysis—ar…
Modern web applications manipulate a large amount of user data and undergo frequent data-schema changes. These changes bring up a unique refactoring task: updating application code to be consistent with data schema. Previous study and our own investigation show that this type of …
Numerous efforts have been invested in improving the effectiveness of bug localization techniques, whereas little attention is paid to making these tools run more efficiently in continuously evolving software repositories. This paper first analyzes the information retrieval model…
Service reliability is one of the key challenges that cloud providers have to deal with. In cloud systems, unplanned service failures may cause severe cascading impacts on their dependent services, deteriorating customer satisfaction. Predicting the cascading impacts accurately a…
Data scientists reportedly spend a significant amount of their time in their daily routines on data wrangling, i.e. cleaning data and extracting features. However, data wrangling code is often repetitive and error-prone to write. Moreover, it is easy to introduce subtle bugs when…