CloudMTD: Using real options to manage technical debt in cloud-based service selection

2013 ◽  
Author(s):  
Esra Alzaghoul ◽  
Rami Bahsoon
Keyword(s):  
Real Options ◽  
Service Selection ◽  
Technical Debt

The Technical Debt in Cloud Software Engineering

2015 ◽  
pp. 24-42 ◽  
Author(s):  
Georgios Skourletopoulos ◽  
Rami Bahsoon ◽  
Constandinos X. Mavromoustakis ◽  
George Mastorakis
Keyword(s):  
Software Engineering ◽  
Cost Estimation ◽  
Cost Model ◽  
Service Selection ◽  
Cloud Service ◽  
Cloud Services ◽  
Software As A Service ◽  
Technical Debt ◽  
Selection Decisions ◽  
The Cost

Predicting and quantifying promptly the Technical Debt has turned into an issue of significant importance over recent years. In the cloud marketplace, where cloud services can be leased, the difficulty to identify the Technical Debt effectively can have a significant impact. In this chapter, the probability of introducing the Technical Debt due to budget and cloud service selection decisions is investigated. A cost estimation approach for implementing Software as a Service (SaaS) in the cloud is examined, indicating three scenarios for predicting the incurrence of Technical Debt in the future. The Constructive Cost Model (COCOMO) is used in order to estimate the cost of the implementation and define a range of secureness by adopting a tolerance value for prediction. Furthermore, a Technical Debt quantification approach is researched for leasing a cloud Software as a Service (SaaS) in order to provide insights about the most appropriate cloud service to be selected.

Real Options and Project Evaluation

10.1596/27376 ◽  
2011 ◽  
Author(s):  
Odin K. Knudsen ◽  
Pasquale L. Scandizzo
Keyword(s):  
Real Options ◽  
Project Evaluation
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