Process Performance Models in Software Engineering: A Mathematical Solution Approach to Problem Using Industry Data

Process Performance Models in Software Engineering: A Mathematical Solution Approach to Problem... An IT Project Manager is responsible for project planning, estimating and scheduling, developing and monitoring the progress throughout its development life cycle. The selection of a particular methodology is heuristic and the performance of the system developed is unpredictable. The authors suggest that a designed process performance model (PPM) can help to predict the required factors of a process to help achieve set goals for the process. This, in turn, can help to control factors that the project and the organizations need to control and ensure expected results. PPMs may enable to work out the relationship between different variables for a well-defined project and this knowledge becomes basis for prediction of performance solution, and helps in implementation of solution. This approach related to designing of PPMs, for various real life projects situations has not been attempted by industry in a big way. The authors demonstrate how to work out the PPMs, based on the given inputs of projects, by an Indian IT company. The solution works out number of bids which arrive at a given time or predict when the next bid will arrive at service centre, based on time series and queuing theory approach. This solution approach is based on different problems that will become the basis to build PPMs for similar problems. The problems discussed here are from an Information Technology Company, with real life data from the projects under development. Testing these models with more projects data thus will formalize how to build PPMs in a similar way. The authors discuss problem areas where time series and queuing theory Models can be applied and benefits of the present approach. The authors have similarly worked on different mathematical models based on industry data and build PPMs based on Bayesian, regression, fuzzy logic and other models. This paper is submitted with only two models just to prove the concept. In future building PPMs is likely to be a necessity in high maturity IT organizations. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Wireless Personal Communications Springer Journals

Process Performance Models in Software Engineering: A Mathematical Solution Approach to Problem Using Industry Data

Loading next page...
 
/lp/springer_journal/process-performance-models-in-software-engineering-a-mathematical-tY50CZUGGK
Publisher
Springer US
Copyright
Copyright © 2017 by Springer Science+Business Media, LLC
Subject
Engineering; Communications Engineering, Networks; Signal,Image and Speech Processing; Computer Communication Networks
ISSN
0929-6212
eISSN
1572-834X
D.O.I.
10.1007/s11277-017-4783-1
Publisher site
See Article on Publisher Site

Abstract

An IT Project Manager is responsible for project planning, estimating and scheduling, developing and monitoring the progress throughout its development life cycle. The selection of a particular methodology is heuristic and the performance of the system developed is unpredictable. The authors suggest that a designed process performance model (PPM) can help to predict the required factors of a process to help achieve set goals for the process. This, in turn, can help to control factors that the project and the organizations need to control and ensure expected results. PPMs may enable to work out the relationship between different variables for a well-defined project and this knowledge becomes basis for prediction of performance solution, and helps in implementation of solution. This approach related to designing of PPMs, for various real life projects situations has not been attempted by industry in a big way. The authors demonstrate how to work out the PPMs, based on the given inputs of projects, by an Indian IT company. The solution works out number of bids which arrive at a given time or predict when the next bid will arrive at service centre, based on time series and queuing theory approach. This solution approach is based on different problems that will become the basis to build PPMs for similar problems. The problems discussed here are from an Information Technology Company, with real life data from the projects under development. Testing these models with more projects data thus will formalize how to build PPMs in a similar way. The authors discuss problem areas where time series and queuing theory Models can be applied and benefits of the present approach. The authors have similarly worked on different mathematical models based on industry data and build PPMs based on Bayesian, regression, fuzzy logic and other models. This paper is submitted with only two models just to prove the concept. In future building PPMs is likely to be a necessity in high maturity IT organizations.

Journal

Wireless Personal CommunicationsSpringer Journals

Published: Sep 20, 2017

References

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 12 million articles from more than
10,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Unlimited reading

Read as many articles as you need. Full articles with original layout, charts and figures. Read online, from anywhere.

Stay up to date

Keep up with your field with Personalized Recommendations and Follow Journals to get automatic updates.

Organize your research

It’s easy to organize your research with our built-in tools.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve Freelancer

DeepDyve Pro

Price
FREE
$49/month

$360/year
Save searches from
Google Scholar,
PubMed
Create lists to
organize your research
Export lists, citations
Read DeepDyve articles
Abstract access only
Unlimited access to over
18 million full-text articles
Print
20 pages/month
PDF Discount
20% off