Investigating suitability of software process and metrics for statistical process control

Tarhan, Ayca
Demirörs, Onur
The application of statistical process control (SPC) techniques for software is rare due to such requirements as high maturity, rational sampling, and effective metric selection. Existing studies report results from their own implementations and provide suggestions for success. In this paper, we explain an approach used for assessing the suitability of software process and metrics for starting SPC implementation via control charts. The approach includes guidance to identify rational samples of a process as well as to select process metrics. We explain the application of the approach over a review process of a software and system development organization.


Assessment of software process and metrics to support quantitative understanding
TARHAN, AYÇA; Demirörs, Onur (2007-11-07)
The use of process metrics and data for quantitative understanding is not very straightforward. If we have an identification of process components and follow a measurement process, we are likely to use process metrics and data effectively. But if we don't have these practices, we can hardly trust oil process metrics and data for quantitative understanding. In this paper, we summarize eight case studies that we performed in different industrial contexts. The case studies rely on an assessment approach that i...
Improvement of statistical landslide susceptibility mapping by using spatial and global regression methods in the case of More and Romsdal (Norway)
Erener, Arzu; Düzgün, Hafize Şebnem (Springer Science and Business Media LLC, 2010-03-01)
Statistical models are one of the most preferred methods among many landslide susceptibility assessment methods. As landslide occurrences and influencing factors have spatial variations, global models like neural network or logistic regression (LR) ignore spatial dependence or autocorrelation characteristics of data between the observations in susceptibility assessment. However, to assess the probability of landslide within a specified period of time and within a given area, it is important to understand th...
A comparison of data mining methods for prediction and classification types of quality problems
Anaklı, Zeynep; Anaklı, Zeynep; Department of Industrial Engineering (2009)
In this study, an Analytic Network Process (ANP) and Preference Ranking Organization MeTHod for Enrichment Evaluations (PROMETHEE) based approach is developed and used to compare overall performance of some commonly used classification and prediction data mining methods on quality improvement data, according to several decision criteria. Classification and prediction data mining (DM) methods are frequently used in many areas including quality improvement. Previous studies on comparison of performance of the...
An assessment and analysis tool for statistical process control of software process
Kırbaş, Serkan; Doğru, Ali Hikmet; Department of Computer Engineering (2007)
Statistical process control (SPC) which includes very powerful techniques used in other mature engineering disciplines for providing process control is not used by many software organizations. In software engineering domain, SPC is currently utilized only by organizations which have high maturity levels according to the process improvement models like CMM, ISO/IEC 15504 and CMMI. Guidelines and software tools to implement SPC techniques should be developed for effective use and dissemination of SPC especial...
Application of statistical process control to software development processes via control charts
Sargut, Kamil Umut; Demirörs, Onur; Department of Information Systems (2003)
The application of Statistical Process Control (SPC) to software processes has been a challenging issue for software engineers and researchers. Although SPC is suggested for providing process control and achieving higher process maturity levels, there are very few resources that describe success stories, implementation details, and implemented guidelines for applying SPC to specific metrics. In this thesis the findings of a case study that is performed for investigating the applicability of SPC to software ...
Citation Formats
A. Tarhan and O. Demirörs, “Investigating suitability of software process and metrics for statistical process control,” SOFTWARE PROCESS IMPROVEMENT, PROCEEDINGS, pp. 88–99, 2006, Accessed: 00, 2020. [Online]. Available: