Results 91 to 100 of about 4,536 (221)
Deep Active Learning for Label-Efficient Refactoring Prediction
InformationSoftware refactoring improves the maintainability of code and reduces technical debt, but making the construction of a labeled refactoring dataset is a costly and labor-intensive process.
Abdulmajeed Alameer, Amal Alazba
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Refactoring software to heterogeneous parallel platforms [PDF]
The Journal of Supercomputing, 2019 In summary, the papers included in this special issue are representative of the progress achieved by the research community at various levels from the very high level using parallel patterns to lower levels using, for example, transactional software memory.
openaire +2 more sources
HemaSphere, Volume 10, Issue 4, April 2026.Abstract Transcriptome sequencing (RNA‐seq) is emerging as a diagnostic standard for B‐cell precursor acute lymphoblastic leukemia (B‐ALL). Expression‐based classifiers reach ~95% accuracy, but reproducible end‐to‐end solutions that also integrate transcript‐derived genomic drivers and quantitative virtual karyotyping are lacking.
Nadine Wolgast +18 more
wiley +1 more source
Advances in Distributed Computing and Artificial Intelligence Journal, 2018 Software development advances focus on productivity of existing software systems and quality is the basic demand of every engineering product. In this paper, we will discuss the complete re-engineering process with aspects of forwarding, reverse and ...
Muhammad MUZAMMUL, Muhammad AWAIS
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Measurement and refactoring for package structure based on complex network
Applied Network Science, 2020 Software structure is the backbone for software systems. During the long time of software evolution, it is gradually weakened by continuous code modification and expansion driven by new requirements.
Yangxi Zhou +3 more
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Robotics Meets Software Engineering: A First Look at the Robotics Discussions on StackOverflow
Journal of Software: Evolution and Process, Volume 38, Issue 4, April 2026.ABSTRACT Robots can greatly enhance human capabilities, yet their development presents a range of challenges. This collaborative study, conducted by a team of software engineering and robotics researchers, seeks to identify the challenges encountered by robot developers by analyzing questions posted on StackOverflow.
Hisham Kidwai +5 more
wiley +1 more source
Applying ArchOptions to value the payoff of refactoring
, 2004 ArchOptions is a real-options based model that we have pro-posed to value the flexibility of software architectures in response to future changes in requirements.
Bahsoon, R., Emmerich, W.
core
A User-extensible Refactoring Tool for Erlang Programs [PDF]
, 2011 Refactoring is the process of changing the design of a program without changing what it does. While it is possible to refactor a program by hand, tool support is considered invaluable as it allows large-scale refactorings to be performed easily. However,
Thompson, Simon, Li, Huiqing
core
Machine Learning for Software Refactoring: a Large-Scale Empirical Study
, 2020 Refactorings tackle the challenge of architectural degradation of object-oriented software projects by improving its internal structure without changing the behavior. Refactorings improve software quality and maintainability if applied correctly. However,
Gerling, Jan (author)
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Design of satellite tracking platform based on software defined radio
Dianzi Jishu Yingyong, 2019 This paper proposes a kind of design for satellite tracking platform which is based on software defined radio(SDR) technology and constructed with several properties such as open, modularization, code refactoring, etc.
Kang Guodong +3 more
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