DocumentCode :
2656989
Title :
Software Extensibility Strategies for Health and Demographic Systems in Low-Income Countries
Author :
Hartsock, Brian ; MacLeod, Bruce ; Roberge, David ; Asangansi, Ime
Author_Institution :
Dept. of Comput. Sci., Univ. of Southern Maine, Portland, ME, USA
fYear :
2011
fDate :
Oct. 30 2011-Nov. 1 2011
Firstpage :
512
Lastpage :
517
Abstract :
Software systems used by health research centers in low-income countries typically need to be maintained and upgraded by individuals who do not have formal Computer Science education. Without careful planning, these data management software systems can require years of technical assistance from highly trained specialists. This work proposes software design strategies to minimize the complexity of maintaining a Java based enterprise scale software application in low-income countries. In this paper we identify various extension mechanisms. The goal is to significantly reduce the complexity required for users to tailor the system to their own particular projects.
Keywords :
Java; computer science education; demography; health care; public domain software; software quality; Java based enterprise scale software application; data management software systems; demographic systems; formal computer science education; health research centers; health systems; low-income countries; software extensibility strategies; Data models; Databases; Electronic publishing; Information services; Internet; Software systems; HDSS; OpenHDS; extensibility; extension points; modifiability; variability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Humanitarian Technology Conference (GHTC), 2011 IEEE
Conference_Location :
Seattle, WA
Print_ISBN :
978-1-61284-634-7
Electronic_ISBN :
978-0-7695-4595-0
Type :
conf
DOI :
10.1109/GHTC.2011.56
Filename :
6103688
Link To Document :
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