Table of Links Abstract and 1. Introduction 2. Experiment Definition 3. Experiment Design and Conduct 3.1 Latin Square Designs 3.2 Subjects, Tasks and Objects 3.3 Conduct 3.4 Measures 4. Data Analysis 4.1 Model Assumptions 4.2 Analysis of Variance (ANOVA) 4.3 Treatment Comparisons 4.4 Effect Size and Power Analysis 5. Experiment Limitations and 5.1 Threats to the Conclusion Validity 5.2 Threats to Internal Validity 5.3 Threats to Construct Validity 5.4 Threats to External Validity 6. Discussion and 6.1 Duration 6.2 Effort 7. Conclusions and Further Work, and References 3.4 Measures We used the time records of subjects to define the following measures: \ Duration: It is the elapsed time in minutes to write the program. Before starting the program assignment, subjects wrote down the current time. When they completed the program, they registered the finish time; then we calculate the difference in minutes between start and finish time. \ Effort: It measures the amount of labor spent to perform a task. It is the total programming effort in person-minutes to write a program. Total effort for a pair is the duration multiplied by two. Tables 3 and 4 show the measures (in minutes) collected for the experiment. \ \ \ :::info Authors: (1) Omar S. Gómez, full time professor of Software Engineering at Mathematics Faculty of the Autonomous University of Yucatan (UADY); (2) José L. Batún, full time professor of Statistics at Mathematics Faculty of the Autonomous University of Yucatan (UADY); (3) Raúl A. Aguilar, Faculty of Mathematics, Autonomous University of Yucatan Merida, Yucatan 97119, Mexico. ::: :::info This paper is available on arxiv under CC BY-NC-ND 4.0 DEED license. ::: \Table of Links Abstract and 1. Introduction 2. Experiment Definition 3. Experiment Design and Conduct 3.1 Latin Square Designs 3.2 Subjects, Tasks and Objects 3.3 Conduct 3.4 Measures 4. Data Analysis 4.1 Model Assumptions 4.2 Analysis of Variance (ANOVA) 4.3 Treatment Comparisons 4.4 Effect Size and Power Analysis 5. Experiment Limitations and 5.1 Threats to the Conclusion Validity 5.2 Threats to Internal Validity 5.3 Threats to Construct Validity 5.4 Threats to External Validity 6. Discussion and 6.1 Duration 6.2 Effort 7. Conclusions and Further Work, and References 3.4 Measures We used the time records of subjects to define the following measures: \ Duration: It is the elapsed time in minutes to write the program. Before starting the program assignment, subjects wrote down the current time. When they completed the program, they registered the finish time; then we calculate the difference in minutes between start and finish time. \ Effort: It measures the amount of labor spent to perform a task. It is the total programming effort in person-minutes to write a program. Total effort for a pair is the duration multiplied by two. Tables 3 and 4 show the measures (in minutes) collected for the experiment. \ \ \ :::info Authors: (1) Omar S. Gómez, full time professor of Software Engineering at Mathematics Faculty of the Autonomous University of Yucatan (UADY); (2) José L. Batún, full time professor of Statistics at Mathematics Faculty of the Autonomous University of Yucatan (UADY); (3) Raúl A. Aguilar, Faculty of Mathematics, Autonomous University of Yucatan Merida, Yucatan 97119, Mexico. ::: :::info This paper is available on arxiv under CC BY-NC-ND 4.0 DEED license. ::: \

A Simple Guide to Measuring Time and Labor in Programming

2025/08/19 09:56
2분 읽기
이 콘텐츠에 대한 의견이나 우려 사항이 있으시면 [email protected]으로 연락주시기 바랍니다

Abstract and 1. Introduction

2. Experiment Definition

3. Experiment Design and Conduct

3.1 Latin Square Designs

3.2 Subjects, Tasks and Objects

3.3 Conduct

3.4 Measures

4. Data Analysis

4.1 Model Assumptions

4.2 Analysis of Variance (ANOVA)

4.3 Treatment Comparisons

4.4 Effect Size and Power Analysis

5. Experiment Limitations and 5.1 Threats to the Conclusion Validity

5.2 Threats to Internal Validity

5.3 Threats to Construct Validity

5.4 Threats to External Validity

6. Discussion and 6.1 Duration

6.2 Effort

7. Conclusions and Further Work, and References

3.4 Measures

We used the time records of subjects to define the following measures:

\ Duration: It is the elapsed time in minutes to write the program. Before starting the program assignment, subjects wrote down the current time. When they completed the program, they registered the finish time; then we calculate the difference in minutes between start and finish time.

\ Effort: It measures the amount of labor spent to perform a task. It is the total programming effort in person-minutes to write a program. Total effort for a pair is the duration multiplied by two. Tables 3 and 4 show the measures (in minutes) collected for the experiment.

\ Table 3: Measures collected for duration

\ Table 4: Measures collected for effort

\

:::info Authors:

(1) Omar S. Gómez, full time professor of Software Engineering at Mathematics Faculty of the Autonomous University of Yucatan (UADY);

(2) José L. Batún, full time professor of Statistics at Mathematics Faculty of the Autonomous University of Yucatan (UADY);

(3) Raúl A. Aguilar, Faculty of Mathematics, Autonomous University of Yucatan Merida, Yucatan 97119, Mexico.

:::


:::info This paper is available on arxiv under CC BY-NC-ND 4.0 DEED license.

:::

\

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