Four-Dimensional ACC Analysis
https://doi.org/10.15514/ISPRAS-2024-36(2)-4
Abstract
The article discusses the issues of planning and resource management in the process of testing software systems. The paper presents the ACC analysis method used at Google to optimize the distribution of efforts for testing different parts of the system. Extending the method by adding a fourth characteristic - actors (roles of system users) – allows for a more flexible assessment of action requirements and user skill levels. Illustrative examples of system attributes and components help understand the principles of the method. The work proposes a new approach to risk management and process improvement in testing software systems in a multidimensional space. The effectiveness of applying the enhanced ACC analysis method using a risk-oriented approach was demonstrated using the example of a control system for technological operations in the repair of electric motors, for which attributes, components, actors were identified, opportunities at their intersection were analyzed, and testing was conducted, which helped improve the system's quality.
Keywords
testing,
risk registry,
test plan,
test cases,
system for controlling technological operations,
ACC methodology,
Google+,
risk-oriented approach,
risk identification,
efficiency improvement,
risk assessment,
productivity enhancement,
process optimization,
data analysis,
software engineering.
About the Authors
Nazgul Ibragimovna MUSTAFINA
HSE University
Russian Federation
Russian Federation
3rd year student of the National Research University – Higher School of Economics (HSE University, Perm Branch). Research interests: machine learning, data analysis.
Mikhail Alexandrovich PLAKSIN
HSE University, Perm State University
Russian Federation
Russian Federation
Candidate of Physical and Mathematical Sciences, Associate Professor of the Department of Information Technologies in Business of the National Research University – Higher School of Economics (HSE University, Perm Branch), Associate Professor of the Department of Computer Science of the Perm State National Research University (PSU). Research interests: system analysis, TRIZ, project management, informatization of education, teaching informatics in elementary school, construction of a cross-curricular informatics course from 1st to 11th grade.
Polina Alekseevna MIKISHEVA
HSE University
Russian Federation
Russian Federation
3rd year student of the Software Engineering program at the Perm branch of the National Research University Higher School of Economics.
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Review
For citations:
MUSTAFINA N.I., PLAKSIN M.A., MIKISHEVA P.A. Four-Dimensional ACC Analysis. Proceedings of the Institute for System Programming of the RAS (Proceedings of ISP RAS). 2024;36(2):47-58. https://doi.org/10.15514/ISPRAS-2024-36(2)-4
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