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Second IEEE International Symposium on Requirements Engineering (RE'95)
Measuring the success of requirements engineering processes
York, England
March 27-March 29
ISBN: 0-8186-7017-7
ASCII Text
x 
 
K. El Emam, N.H. Madhavji, "Measuring the success of requirements engineering processes," Requirements Engineering, IEEE International Conference on, pp. 204, Second IEEE International Symposium on Requirements Engineering (RE'95), 1995.
 
 
BibTex
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@article{ 10.1109/ISRE.1995.512562,
author = {K. El Emam and N.H. Madhavji},
title = {Measuring the success of requirements engineering processes},
journal ={Requirements Engineering, IEEE International Conference on},
volume = {0},
year = {1995},
isbn = {0-8186-7017-7},
pages = {204},
doi = {http://doi.ieeecomputersociety.org/10.1109/ISRE.1995.512562},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Requirements Engineering, IEEE International Conference on
TI - Measuring the success of requirements engineering processes
SN - 0-8186-7017-7
SP
EP
A1 - K. El Emam,
A1 - N.H. Madhavji,
PY - 1995
KW - formal specification; systems analysis; program verification; program testing; software reliability; requirements engineering processes; requirements engineering success; research study; requirements engineering products; requirements engineering service; psychometric properties; reliability; validity
VL - 0
JA - Requirements Engineering, IEEE International Conference on
ER -
 
K. El Emam, Sch. of Comput. Sci., McGill Univ., Montreal, Que., Canada
N.H. Madhavji, Sch. of Comput. Sci., McGill Univ., Montreal, Que., Canada
Central to understanding and improving requirements engineering processes is the ability to measure requirements engineering success. The paper describes a research study whose objective was to develop an instrument to measure the success of requirements engineering processes. The instrument developed consists of 32 indicators that cover the two most important dimensions of requirements engineering success. These two dimensions were identified during the study to be: quality of requirements engineering products and quality of requirements engineering service. Evidence is presented demonstrating that the instrument has desirable psychometric properties, such as high reliability and validity.
Index Terms:
formal specification; systems analysis; program verification; program testing; software reliability; requirements engineering processes; requirements engineering success; research study; requirements engineering products; requirements engineering service; psychometric properties; reliability; validity
Citation:
K. El Emam, N.H. Madhavji, "Measuring the success of requirements engineering processes," re, pp.204, Second IEEE International Symposium on Requirements Engineering (RE'95), 1995
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