<abstract xmlns="http://www.w3.org/1999/xhtml">

After recent improvements brought the incremental compilation of large industrial test suites down to a few seconds, the first semantic checking of a project became one of the longest-running processes. As multi-core systems are now the standard, we derived a parallelisation using software engineering laws to improve the performance of semantic checking.
Our measurements show that even an outdated laptop is fast enough for daily use. The performance improvements came without performance regressions, and we can’t expect additional massive benefits even from infinitely scaling Cloud resources.
Companies should utilise cheaper machines that still o er enough performance for longer. This approach can help businesses increase profits, reduce electronic waste and promote sustainability while maintaining high-quality software development practices.
</abstract>

After recent improvements brought the incremental compilation of large industrial test suites down to a few seconds, the first semantic checking of a project became one of the longest-running processes. As multi-core systems are now the standard, we derived a parallelisation using software engineering laws to improve the performance of semantic checking.
Our measurements show that even an outdated laptop is fast enough for daily use. The performance improvements came without performance regressions, and we can’t expect additional massive benefits even from infinitely scaling Cloud resources.
Companies should utilise cheaper machines that still o er enough performance for longer. This approach can help businesses increase profits, reduce electronic waste and promote sustainability while maintaining high-quality software development practices.

Parallelising semantic checking in an IDE: A way toward improving profits and sustainability, while maintaining high-quality software development

Acta Universitatis Sapientiae, Informatica

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

After recent improvements brought the incremental compilation of large industrial test suites down to a few seconds, the first semantic checking of a project...

Parallelising semantic checking in an IDE: A way toward improving profits and sustainability, while maintaining high-quality software development

Data publikacji: 12 gru 2023

Zakres stron: 239 - 266

Otrzymano: 19 wrz 2023

DOI: https://doi.org/10.2478/ausi-2023-0016

Słowa kluczowe
parallel computing, cloud computing, semantic checking, integrated development environment, software development tools, software engineering laws, TTCN-3, performance improvement, sustainability, cost reduction, profit increase

© 2023 Kristóf Szabados, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Parallelising semantic checking in an IDE: A way toward improving profits and sustainability, while maintaining high-quality software development

Data publikacji: 12 gru 2023

Zakres stron: 239 - 266

Otrzymano: 19 wrz 2023

DOI: https://doi.org/10.2478/ausi-2023-0016

Słowa kluczoweparallel computing, cloud computing, semantic checking, integrated development environment, software development tools, software engineering laws, TTCN-3, performance improvement, sustainability, cost reduction, profit increase

© 2023 Kristóf Szabados, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Słowa kluczowe
parallel computing, cloud computing, semantic checking, integrated development environment, software development tools, software engineering laws, TTCN-3, performance improvement, sustainability, cost reduction, profit increase