Abstract
Background: Test-first development (TF) is regarded as a development practice that can lead to better quality of software products, as well as improved developer productivity. By implementing unit tests before the corresponding production code, the tests themselves are the main driver to such improvements. The role of tests on the effectiveness of TF has been studied in a controlled experiment by Erdogmus et al. (i.e. original study). Aim: Our goal is to examine the impact of test-first (TF) development on product quality and developer productivity, specifically the role that tests play in it. Method: We replicated the original study's controlled experiment by comparing an experimental group applying TF to a control group applying a test-last approach. We then carried out a correlation study in order to understand whether the number of tests is a good predictor for external quality and/or productivity. Results: Mann-Whitney tests did not show any significant difference between the two groups in terms of number of tests written (W=114.5, p=0.38), developers' productivity (W=90, p=0.82) and external quality (W=81.55, p=0.53). In addition, while a significant correlation exists between the number of tests and productivity (Spearman's ? = 0.57, p
| Language | English |
|---|---|
| Article number | 6681343 |
| Pages | 103-112 |
| Number of pages | 10 |
| Journal | International Symposium on Empirical Software Engineering and Measurement |
| DOIs | |
| Publication status | Published - 1 Dec 2013 |
| Externally published | Yes |
| Event | International Symposium on Empirical Software Engineering and Measurement 2013 - Baltimore, United States Duration: 10 Oct 2013 → 11 Oct 2013 |
Keywords
- experiment replication
- productivity
- software quality
- test-driven development
Cite this
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A replicated experiment on the effectiveness of test-first development. / Fucci, Davide; Turhan, Burak.
In: International Symposium on Empirical Software Engineering and Measurement, 01.12.2013, p. 103-112.Research output: Contribution to journal › Conference article › Research › peer-review
TY - JOUR
T1 - A replicated experiment on the effectiveness of test-first development
AU - Fucci, Davide
AU - Turhan, Burak
PY - 2013/12/1
Y1 - 2013/12/1
N2 - Background: Test-first development (TF) is regarded as a development practice that can lead to better quality of software products, as well as improved developer productivity. By implementing unit tests before the corresponding production code, the tests themselves are the main driver to such improvements. The role of tests on the effectiveness of TF has been studied in a controlled experiment by Erdogmus et al. (i.e. original study). Aim: Our goal is to examine the impact of test-first (TF) development on product quality and developer productivity, specifically the role that tests play in it. Method: We replicated the original study's controlled experiment by comparing an experimental group applying TF to a control group applying a test-last approach. We then carried out a correlation study in order to understand whether the number of tests is a good predictor for external quality and/or productivity. Results: Mann-Whitney tests did not show any significant difference between the two groups in terms of number of tests written (W=114.5, p=0.38), developers' productivity (W=90, p=0.82) and external quality (W=81.55, p=0.53). In addition, while a significant correlation exists between the number of tests and productivity (Spearman's ? = 0.57, p
AB - Background: Test-first development (TF) is regarded as a development practice that can lead to better quality of software products, as well as improved developer productivity. By implementing unit tests before the corresponding production code, the tests themselves are the main driver to such improvements. The role of tests on the effectiveness of TF has been studied in a controlled experiment by Erdogmus et al. (i.e. original study). Aim: Our goal is to examine the impact of test-first (TF) development on product quality and developer productivity, specifically the role that tests play in it. Method: We replicated the original study's controlled experiment by comparing an experimental group applying TF to a control group applying a test-last approach. We then carried out a correlation study in order to understand whether the number of tests is a good predictor for external quality and/or productivity. Results: Mann-Whitney tests did not show any significant difference between the two groups in terms of number of tests written (W=114.5, p=0.38), developers' productivity (W=90, p=0.82) and external quality (W=81.55, p=0.53). In addition, while a significant correlation exists between the number of tests and productivity (Spearman's ? = 0.57, p
KW - experiment replication
KW - productivity
KW - software quality
KW - test-driven development
UR - http://www.scopus.com/inward/record.url?scp=84893312566&partnerID=8YFLogxK
U2 - 10.1109/ESEM.2013.15
DO - 10.1109/ESEM.2013.15
M3 - Conference article
SP - 103
EP - 112
JO - International Symposium on Empirical Software Engineering and Measurement
T2 - International Symposium on Empirical Software Engineering and Measurement
JF - International Symposium on Empirical Software Engineering and Measurement
SN - 1949-3770
M1 - 6681343
ER -