Zobrazeno 1 - 10
of 120
pro vyhledávání: '"Gousios, Georgios"'
Modern agile software projects are subject to constant change, making it essential to re-asses overall delay risk throughout the project life cycle. Existing effort estimation models are static and not able to incorporate changes occurring during pro
Externí odkaz:
http://arxiv.org/abs/2309.12449
Existing work on the practical impact of software engineering (SE) research examines industrial relevance rather than adoption of study results, hence the question of how results have been practically applied remains open. To answer this and investig
Externí odkaz:
http://arxiv.org/abs/2204.03366
Code completion is an essential feature of IDEs, yet current autocompleters are restricted to either grammar-based or NLP-based single token completions. Both approaches have significant drawbacks: grammar-based autocompletion is restricted in dynami
Externí odkaz:
http://arxiv.org/abs/2202.06689
Modern mobile applications include instrumentation that sample internal application metrics at regular intervals. Following a crash, sample metrics are collected and can potentially be valuable for root-causing difficult to diagnose crashes. However,
Externí odkaz:
http://arxiv.org/abs/2110.10450
Autor:
Hejderup, Joseph, Gousios, Georgios
Developers are increasingly using services such as Dependabot to automate dependency updates. However, recent research has shown that developers perceive such services as unreliable, as they heavily rely on test coverage to detect conflicts in update
Externí odkaz:
http://arxiv.org/abs/2109.11921
Autor:
Rastogi, Ayushi, Gousios, Georgios
Software evolves with changes to its codebase over time. Internally, software changes in response to decisions to include some code change into the codebase and discard others. Explaining the mechanism of software evolution, this paper presents a the
Externí odkaz:
http://arxiv.org/abs/2106.01885
Context: Pull-based development model is widely used in open source, leading the trends in distributed software development. One aspect which has garnered significant attention is studies on pull request decision - identifying factors for explanation
Externí odkaz:
http://arxiv.org/abs/2105.13970
In this paper, we present ManyTypes4Py, a large Python dataset for machine learning (ML)-based type inference. The dataset contains a total of 5,382 Python projects with more than 869K type annotations. Duplicate source code files were removed to eli
Externí odkaz:
http://arxiv.org/abs/2104.04706
Mistakes in binary conditions are a source of error in many software systems. They happen when developers use, e.g., < or > instead of <= or >=. These boundary mistakes are hard to find and impose manual, labor-intensive work for software developers.
Externí odkaz:
http://arxiv.org/abs/2102.12429
Modern programming languages such as Java, JavaScript, and Rust encourage software reuse by hosting diverse and fast-growing repositories of highly interdependent packages (i.e., reusable libraries) for their users. The standard way to study the inte
Externí odkaz:
http://arxiv.org/abs/2101.09563