Utility and accuracy of smell-driven performance analysis for end-user programmers

Author:

Chambers Christopher,Scaffidi Christopher

Funder

National Instruments

Publisher

Elsevier BV

Subject

Computer Science Applications,Human-Computer Interaction,Language and Linguistics

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Towards a metrics suite for the complexity analysis of LabVIEW systems models;Science of Computer Programming;2023-04

2. Language impact on productivity for industrial end users: A case study from Programmable Logic Controllers;Journal of Computer Languages;2022-04

3. FINE ART CREATION AND PHILOSOPHICAL CONSCIOUSNESS THINKING;EUR J PHILOS RELIG;2022

4. A Survey-Based Empirical Evaluation of Bad Smells in LabVIEW Systems Models;2021 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER);2021-03

5. BESMER: An Approach for Bad Smells Summarization in Systems Models;2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C);2019-09

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