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16th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'04)
Human Perception of Software Complexity: Knowledge Discovery from Software Data
Boca Raton, Florida
November 15-November 17
ISBN: 0-7695-2236-X
ASCII Text
x 
 
Marek Reformat, Petr Musilek, Vanda Wu, Nicolino J. Pizzi, "Human Perception of Software Complexity: Knowledge Discovery from Software Data," Tools with Artificial Intelligence, IEEE International Conference on, pp. 202-206, 16th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'04), 2004.
 
 
BibTex
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@article{ 10.1109/ICTAI.2004.69,
author = {Marek Reformat and Petr Musilek and Vanda Wu and Nicolino J. Pizzi},
title = {Human Perception of Software Complexity: Knowledge Discovery from Software Data},
journal ={Tools with Artificial Intelligence, IEEE International Conference on},
volume = {0},
year = {2004},
issn = {1082-3409},
pages = {202-206},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICTAI.2004.69},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Tools with Artificial Intelligence, IEEE International Conference on
TI - Human Perception of Software Complexity: Knowledge Discovery from Software Data
SN - 1082-3409
SP202
EP206
A1 - Marek Reformat,
A1 - Petr Musilek,
A1 - Vanda Wu,
A1 - Nicolino J. Pizzi,
PY - 2004
KW - null
VL - 0
JA - Tools with Artificial Intelligence, IEEE International Conference on
ER -
 
Marek Reformat, University of Alberta
Petr Musilek, University of Alberta
Vanda Wu, University of Alberta
Nicolino J. Pizzi, National Reserach Conucil - Canada

Complexity of software is an important aspect of development and maintenance activities. A lot of research is dedicated to defining different software measures that capture what software complexity is. In most cases description of complexity is given to humans in forms of numbers. These quantitative measures reflect human-seen complexity with different levels of success.

The paper proposes a process of "translating" human-seen complexity into numbers. The process starts with an experiment that involves human beings and provides data with embedded knowledge about human perception of complexity. Data processing and analysis of data models built based on the data lead to discovery of simple rules which represent human perception of software complexity.

Citation:
Marek Reformat, Petr Musilek, Vanda Wu, Nicolino J. Pizzi, "Human Perception of Software Complexity: Knowledge Discovery from Software Data," ictai, pp.202-206, 16th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'04), 2004
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