Tutorial 3: Pitfalls in the Measurement Methods Applied in Experimental Software Engineering - Assessment and Suggestions for Improvement-Reference-Cited by-同舟云学术

Tutorial 3: Pitfalls in the Measurement Methods Applied in Experimental Software Engineering - Assessment and Suggestions for Improvement

Published:2022-06-13 Issue: Volume: Page:
ISSN:
Container-title:The International Conference on Evaluation and Assessment in Software Engineering 2022
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Author:

Dieste Oscar¹,Vegas Sira¹

Affiliation:

1. Universidad Politécnica de Madrid, Spain

Funder

Ministerio de Ciencia e Innovación

FEDER

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3530019.3533680

Reference13 articles.

1. A note on the use of the intraclass correlation coefficient in the evaluation of agreement between two methods of measurement

2. Oscar Dieste , Ayse Tosun , Sira Vegas , Adrian Santos , Fernando Uyaguari , Jarno Kyykkä , and Natalia Juristo . 2021. The role of slicing in test-driven development. ACM Transactions on Software Engineering and Methodology ( 2021 ). In preparation. Oscar Dieste, Ayse Tosun, Sira Vegas, Adrian Santos, Fernando Uyaguari, Jarno Kyykkä, and Natalia Juristo. 2021. The role of slicing in test-driven development. ACM Transactions on Software Engineering and Methodology (2021). In preparation.

3. Oscar Dieste Fernando Uyaguari and Natalia Juristo. 2021. Test cases as a measurement instrument in experimentation. https://arxiv.org/abs/2111.05287v2(2021). Oscar Dieste Fernando Uyaguari and Natalia Juristo. 2021. Test cases as a measurement instrument in experimentation. https://arxiv.org/abs/2111.05287v2(2021).

4. When a software measure is not a measure

5. N. Fenton and J. Bieman. 2014. Software Metrics – A Rigorous and Practical Approach. CRC Press. N. Fenton and J. Bieman. 2014. Software Metrics – A Rigorous and Practical Approach. CRC Press.