Aim & Scope
Information and Software Technology is the international technical journal covering software development. It bridges the gap between the theories of software engineering and the application of information technology within organizations. The journal covers the entire area of information processing, from state-of-the-art research, through software development and implementation, to information systems management. Papers published in the journal are drawn from current developments in areas such as: empirical and experimental analyses. software metrics. software processes and development methods. project management. quality control and standards. object orientation. concurrency. human factors. testing. implementation techniques. database design. information systems. The journal focuses on international research on software development and its application in industry; discusses techniques for tailoring software and information systems for institutional, industrial, and commercial use; explains in depth the techniques that produce more efficient and reliable systems and emphasizes the use of proper methodologies and formal practices to improve software productivity. Months of publication: Monthly. Index bound in last issue of calendar year. [1]
Continuations / Journal History
| ( 1959 - 1986 ) | Data Processing | ( 1987 - 9999 ) | Information and Software Technology |
2024
Towards a taxonomy of privacy requirements based on the LGPD and ISO/IEC 29100
No authors listed.
Information and Software Technology , 2024 , p 107396.
A longitudinal study on the temporal validity of software samples
No authors listed.
Information and Software Technology , 2024 , p 107404.
Automatic smart contract comment generation via large language models and in-context learning
No authors listed.
Information and Software Technology , 2024 , p 107405.
Context-based statement-level vulnerability localization
No authors listed.
Information and Software Technology , 2024 , p 107406.
UXH-GEDAPP: a set of User eXperience Heuristics for evaluating GEnerative Design APPlications
No authors listed.
Information and Software Technology , 2024 , p 107408.
A deep semantics-aware data augmentation method for fault localization
No authors listed.
Information and Software Technology , 2024 , p 107409.
An empirical study on metamorphic testing for recommender systems
No authors listed.
Information and Software Technology , 2024 , p 107410.
Towards sustainable software systems: A software sustainability analysis framework
No authors listed.
Information and Software Technology , 2024 , p 107411.
A random forest model for early-stage software effort estimation for the SEERA dataset
No authors listed.
Information and Software Technology , 2024 , p 107413.