A cognitive attraction network approach to the software team building decision problem

Other Title(s)

مقاربة لتشكيل فرق مبرمجين باستخدام شبكات الجذب المعرفي

Joint Authors

Shantuf, Zuhayr
al-Shinnawi, Umar
Abu Quyan, Ghadah

Source

Journal of King Abdulaziz University : Computing and Information Technology Sciences

Issue

Vol. 5, Issue 1 (31 Dec. 2016), pp.75-81, 7 p.

Publisher

King Abdul Aziz University Faculty of Computing and Information Technology

Publication Date

2016-12-31

Country of Publication

Saudi Arabia

No. of Pages

7

Main Subjects

Information Technology and Computer Science

Abstract EN

Software team selection can be done based on several criteria.

One among them is the individual developers’ productivity.

However, the sole productivity cannot be accurate if one has to take into consideration the goals of the software project.

Alignment of the productivity-based decision with the project’s goals is the aim of the present article.

The proposed automatable solution is based on Cognitive Attraction Networks.

American Psychological Association (APA)

al-Shinnawi, Umar& Abu Quyan, Ghadah& Shantuf, Zuhayr. 2016. A cognitive attraction network approach to the software team building decision problem. Journal of King Abdulaziz University : Computing and Information Technology Sciences،Vol. 5, no. 1, pp.75-81.
https://search.emarefa.net/detail/BIM-767403

Modern Language Association (MLA)

al-Shinnawi, Umar…[et al.]. A cognitive attraction network approach to the software team building decision problem. Journal of King Abdulaziz University : Computing and Information Technology Sciences Vol. 5, no. 1 (2016), pp.75-81.
https://search.emarefa.net/detail/BIM-767403

American Medical Association (AMA)

al-Shinnawi, Umar& Abu Quyan, Ghadah& Shantuf, Zuhayr. A cognitive attraction network approach to the software team building decision problem. Journal of King Abdulaziz University : Computing and Information Technology Sciences. 2016. Vol. 5, no. 1, pp.75-81.
https://search.emarefa.net/detail/BIM-767403

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references : p. 79-80

Record ID

BIM-767403