Applying technical stock market indicators to analyze and predict the evolvability of open source projects

Author

Hmood, Ali ; Erfani, Mostafa ; Keivanloo, Iman ; Rilling, Juergen

Author_Institution

Dept. of Comput. Sci. & Software Eng., Concordia Univ., Montreal, QC, Canada

fYear

2012

fDate

23-28 Sept. 2012

Firstpage

613

Lastpage

616

Abstract

For decades stock market traders make financially critical buy/sell decisions depending on external and internal factors affecting the price of individual stocks. Moving Averages combined with technical analysis patterns are some of the most basic and widely used indicators to support buy/sell decisions. In this research, we present a novel cross-disciplinary approach that uses these technical stock market indicators for analyzing the community evolvability of open source software systems.

Keywords

public domain software; software development management; stock markets; community evolvability; cross-disciplinary approach; financially critical buy-sell decisions; moving averages; open source projects; open source software systems; stock market traders; technical analysis patterns; technical stock market indicators; Communities; Market research; Reliability; Retirement; Software maintenance; Stock markets; community quality; evolvability; evolvability prediction; moving average; stock market technical analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Software Maintenance (ICSM), 2012 28th IEEE International Conference on

Conference_Location

Trento

ISSN

1063-6773

Print_ISBN

978-1-4673-2313-0

Type

conf

DOI

10.1109/ICSM.2012.6405335

Filename

6405335