Results 1 to 10 of about 4,534,833 (370)
Smart contracts software metrics: A first study. [PDF]
PLoS ONE, 2023 Smart contracts (SC) are software programs that reside and run over a blockchain. The code can be written in different languages with the common purpose of implementing various kinds of transactions onto the hosting blockchain.
Roberto Tonelli +3 more
doaj +4 more sources
Examining the Capacity of Text Mining and Software Metrics in Vulnerability Prediction [PDF]
Entropy, 2022 Software security is a very important aspect for software development organizations who wish to provide high-quality and dependable software to their consumers.
Ilias Kalouptsoglou +4 more
doaj +3 more sources
Empirical software metrics for benchmarking of verification tools. [PDF]
Form Methods Syst Des, 2017 We study empirical metrics for software source code, which can predict the performance of verification tools on specific types of software. Our metrics comprise variable usage patterns, loop patterns, as well as indicators of control-flow complexity and ...
Demyanova Y, Pani T, Veith H, Zuleger F.
europepmc +2 more sources
Vulnerable Code Detection Using Software Metrics and Machine Learning [PDF]
IEEE Access, 2020 Software metrics are widely-used indicators of software quality and several studies have shown that such metrics can be used to estimate the presence of vulnerabilities in the code.
Nádia Medeiros +3 more
openalex +2 more sources
Software Metrics Visualization
Proceedings of the International Conference on Applied Innovations in IT, 2023 Software engineering is an empirical field of study. To support managerial and technical decision-making, the engineer needs numerical measures closely connected with different software metrics.
Vira Liubchenko
doaj +2 more sources
Cross-Project Vulnerability Prediction Based on Software Metrics and Deep Learning
Communication Systems and Applications, 2020 Vulnerability prediction constitutes a mechanism that enables the identification and mitigation of software vulnerabilities early enough in the development cycle, improving the security of software products, which is an important quality attribute ...
Ilias Kalouptsoglou +3 more
openalex +3 more sources
Deep Learning Approach for Software Maintainability Metrics Prediction
IEEE Access, 2019 Software maintainability predicts changes or failures that may occur in software after it has been deployed. Since it deals with the degree to which an application may be understood, repaired, or enhanced, it also takes into account the overall cost of ...
Sudan Jha +6 more
doaj +2 more sources
What Happened to Software Metrics? [PDF]
Computer (Long Beach Calif), 2017 Voas J, Kuhn R.
europepmc +2 more sources
Software metrics: Software quality metrics for distributed systems [PDF]
, 1981 Software quality metrics was extended to cover distributed computer systems. Emphasis is placed on studying embedded computer systems and on viewing them within a system life cycle.
Post, J. V.
core +2 more sources
Neural Network Based Model Refinement [PDF]
Informatică economică, 2008 In this paper, model bases and model generators are presented in the context of model refinement. This article proposes a neural network based model refinement technique for software metrics estimation.
Adrian VISOIU
doaj +2 more sources