TOOL FOR CALCULATION OF METRIC’S ABNORMAL VALUES OF SOFTWARE

Authors

  • Олексій Петрович Дишлевий National Aviation University
  • Мілана Миколаївна Костів National Aviation University

Keywords:

Abnormal value, measurement, Goal-Question-Metric paradigm, arithmetical mean, standard deviation, metric

Abstract

The article is dedicated to creation the tool of calculation of metrics abnormal values. The analysis of statistical techniques has been made for measurement of abnormal metrics, and technique of calculation of metrics abnormal values of software has been proposed. Main software metrics have been described for determination of program maintenance complexity. Tool of calculation of metrics abnormal values has been developed, and it`s functionality has been demonstrated on example of several projects.

Author Biographies

Олексій Петрович Дишлевий, National Aviation University

Senior Lecturer, Department of Software Engineering Faculty of Computer Science, National Aviation University

Мілана Миколаївна Костів, National Aviation University

Student of (MA) 5 kurse Faculty of Computer Science, National aviation university. His research interests include empirical software engineering, National Aviation University

References

Соммервил Иан, Инженерия программного обеспечения, 6-е издание. : Пер. с англ. – М.: Издательский дом «Вильямс», 2002. – 624 с. : ил. – Парал. тит. англ.

Демарко Т., Листер Т. Человеческий фактор: успешные проекты и команды, 2-е издание. – Пер. с англ. – СПб.: Символ-Плюс, 2005. – 256 c., ил.

Christof Ebert, Reiner Dumke, Manfred Bundschuh, Andreas Schmietendorf. Best Practices in Software Measurement: How to use metrics to improve project and process performance. – Springer-Verlag Berlin Heidelberg 2005. – 295p.

Rakesh.L, Dr.Manoranjan Kumar Singh, Dr.Gunaseelan Devaraj, (IJCSIS) International Journal of Computer Science and Information Security,Vol. 8, No. 2, 2010, Software Metrics: Some degree of Software Measurement and Analysis, 7 pages.

Michele Lanza, Radu Marinescu and S. Ducasse . Object-Oriented Metrics in Practice: Using Software Metrics to Characterize, Evaluate, and Improve the Design of Object-Oriented Systems. Springer-Verlag Berlin Heilderbeg, 2006. – 213 p.

Knowledge-based software engineering, Proceedings of the Seventh Joint Conference on Knowledge-based Software Engineering, 2006. – 340 p.

Norman E. Fenton, Shari Lawrence Pfleeger Software Metrics: A Rigorous and Practical Approach. – Cambridge University Press,1996. – 638p.

Linda M. Laird, M. Carol Brennan Software Measurement and Estimation: a practical approach. John Wiley & Sons, Inc., Hoboken, New Jersey 2006. – 257 p.

Forrest Shull, Janice Singer, Dag I.K. Sjoberg Guide to Advanced Empirical Software Engineering. – Springer-Verlag London Limited 2008. – 394p.

John C. Munson. Software Engineering Measurement. – Auerbach publications 2003. – 564 p.

Дишлевий О.П. Предметно-орієнтований метод побудови залежностей між метриками програмного забезпечення / О.П. Дишлевий // Вісник НАУ. – 2009. – №3. – С. 206 – 212.

Дишлевий О.П. Підбір метрик для властивостей програмного забезпечення / О.П. Дишлевий // ПРОБЛЕМИ ПРОГРАМУВАННЯ. Науковий журнал. – 2010. – №2-3. – С. 237 – 242.

Basili V.R., Weiss D.M. A method for collection valid software engineering data // IEEE Transaction on Software Engineering, 10(6), pp. 728 – 738, 1984.

Вентцель Е.С. Теория вероятностей: Учеб. для вузов. – 7-е изд. стер. – М.: Высш. шк., 2001. – 575 с.: ил.

Бабак В.П., Білецький А.Я., Приставка О.П., Приставка П.О. Статистична обробка даних/Монографія. – Київ: «МІВВЦ», 2001. – 388 с.

Issue

Section

REPORTS OF INTERNATIONAL SCIENTIFIC AND PRACTICAL CONFERENCE OF STUDENTS AND POST-GRADUATE STUDENTS "SE 2012"