TY - GEN

T1 - Digital Economy and Modern Programming Technologies

T2 - 3rd International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency, SUMMA 2021

AU - Malafeyev, Oleg

AU - Manai, Shirin Al

AU - Zaitseva, Irina

AU - Vlasova, Tatyana

AU - Kirjanen, Alexander

AU - Smirnova, Tatiana

N1 - Publisher Copyright: © 2021 IEEE.

PY - 2021

Y1 - 2021

N2 - This paper presents the findings of an empirical analysis that tested several theories about the relationship between software quality, expressed in terms of defect density, and cost estimation drivers (cost factors). The study employs three cost factors: work effort, project size (measured in function points), and average assigned work per team member. also, in the paper we supported the empirical study with relationship between project size and defect. The study makes use of the ISBSG repository data collection update 12. ISBSG dataset of 6006 completed projects. Regression Analysis and stepwise Analysis of Variance (ANOVA) are used for statistical analyses. Our research shows that project size and work effort have a significant negative impact on defect density. In addition, results the relationship between project size and defect indicate a weak correlation between size and defects. This result corroborates some of the recently published empirical results. On the other hand, the average amount of work assigned to each team member has a significant positive effect on defect density. These results imply that when assigning resources to a project, these quality factors should be taken into account in order to reduce defect density and, as a result, the product's maintenance cost.

AB - This paper presents the findings of an empirical analysis that tested several theories about the relationship between software quality, expressed in terms of defect density, and cost estimation drivers (cost factors). The study employs three cost factors: work effort, project size (measured in function points), and average assigned work per team member. also, in the paper we supported the empirical study with relationship between project size and defect. The study makes use of the ISBSG repository data collection update 12. ISBSG dataset of 6006 completed projects. Regression Analysis and stepwise Analysis of Variance (ANOVA) are used for statistical analyses. Our research shows that project size and work effort have a significant negative impact on defect density. In addition, results the relationship between project size and defect indicate a weak correlation between size and defects. This result corroborates some of the recently published empirical results. On the other hand, the average amount of work assigned to each team member has a significant positive effect on defect density. These results imply that when assigning resources to a project, these quality factors should be taken into account in order to reduce defect density and, as a result, the product's maintenance cost.

KW - Cost Estimation drivers

KW - Defect Density

KW - Empirical Study

KW - ISBSG Repository

KW - Software Quality

KW - Software Size

UR - http://www.scopus.com/inward/record.url?scp=85123696942&partnerID=8YFLogxK

U2 - 10.1109/SUMMA53307.2021.9632172

DO - 10.1109/SUMMA53307.2021.9632172

M3 - Conference contribution

AN - SCOPUS:85123696942

T3 - Proceedings - 2021 3rd International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency, SUMMA 2021

SP - 208

EP - 214

BT - Proceedings - 2021 3rd International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency, SUMMA 2021

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 10 November 2021 through 12 November 2021

ER -