Rate My Professor Hector Olague

University of Texas at El Paso

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5.04/23/2026

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About Hector

No reliable sources from university websites, official academic profiles, or Google Scholar confirm Hector Olague as a professor in Engineering at the University of Texas at El Paso. UTEP faculty profiles, directories, and engineering department pages do not list him as faculty or staff. Instead, verified academic publications associate Hector M. Olague with the U.S. Army Space and Missile Defense Command in Huntsville, Alabama, and the Computer Science Department at the University of Alabama in Huntsville.

Olague's research specializations include object-oriented software complexity metrics, fault-proneness prediction, maintainability assessment, and design instability in agile and iterative software development processes. Key publications demonstrate his contributions to empirical validation of metrics for software quality. In 'An empirical validation of object-oriented class complexity metrics and their ability to predict error-prone classes in highly iterative, or agile, software: a case study' (2008, Software: Practice and Experience), Olague and co-authors Letha H. Etzkorn, Sherri L. Messimer, and Harry S. Delugach analyzed metrics using defect data from six versions of Rhino, an open-source JavaScript implementation in Java. They found that lesser-known metrics, such as Michura et al.'s standard deviation method complexity and Etzkorn et al.'s average method complexity, were more consistent predictors of quality than Chidamber and Kemerer’s Weighted Methods in a Class (WMC) variants. Statistical methods like Spearman's correlation, principal component analysis, and binary logistic regression supported these findings.

Other notable works include 'Assessing design instability in iterative (agile) object-oriented projects' (2007), exploring metrics for agile contexts; 'An Entropy-Based Approach to Assessing Object-Oriented Software Maintainability and Degradation: A Method and Case Study' (2006, with Letha H. Etzkorn and Glenn W. Cox), introducing an entropy measure for OO software degradation; and 'Empirical Validation of Three Software Metrics Suites to Predict Fault-Proneness of Object-Oriented Classes Developed Using Highly Iterative or Agile Processes' (2007, with Etzkorn, Sampson Gholston, and Stephen Quattlebaum). These papers have influenced subsequent research on software metrics, with citations in studies on fault prediction and agile development. No details on degrees, awards, fellowships, committee roles, public lectures, or professional email are publicly verified from reliable sources.