2011
Juliano Araujo Wickboldt, Luís Armando Bianchin, Roben Castagna Lunardi, Lisandro Zambenedetti Granville, Luciano Paschoal Gaspary, Claudio Bartolini
A framework for risk assessment based on analysis of historical information of workflow execution in IT systems Journal Article
In: Elsevier Computer Networks, 55 (13), pp. 2954–2975, 2011, ISSN: 1389-1286.
Abstract Links BibTeX Tags: Change Management COBIT ITIL Project Management Risk Management
@article{DBLP:journals/cn/WickboldtBLGGB11,
title = {A framework for risk assessment based on analysis of historical information of workflow execution in IT systems},
author = {Juliano Araujo Wickboldt and Luís Armando Bianchin and Roben Castagna Lunardi and Lisandro Zambenedetti Granville and Luciano Paschoal Gaspary and Claudio Bartolini},
url = {https://doi.org/10.1016/j.comnet.2011.05.025},
doi = {10.1016/j.comnet.2011.05.025},
issn = {1389-1286},
year = {2011},
date = {2011-01-01},
journal = {Elsevier Computer Networks},
volume = {55},
number = {13},
pages = {2954--2975},
abstract = {Services provided by modern organizations are usually designed, deployed, and supported by large-scale IT infrastructures. In order to obtain the best performance out of these services, it is essential that organizations enforce rational practices for the management of the resources that compose their infrastructures. A common point in most guides and libraries of best practices for IT management – such as ITIL or COBIT – is the explicit concern with the risks related to IT activities. Proactively dealing with adverse and favorable events that may arise during everyday operations might prevent, for example: delay on deployment of services, cost overrun in activities, predictable failures of handled resources, and, consequently, waste of money. Although important, risk management in practice usually lacks in automation and standardization in IT environments. Therefore, in this article, we introduce a framework to support the automation of some key steps of risk management. Our goal is to organize risk information related to IT activities providing support for decision making thus turning risk response planning simpler, faster, and more accurate. The proposed framework is targeted to workflow-based IT management systems. The fundamental approach is to learn from problems reported in the history of previously conducted workflows in order to estimate risks for future executions. We evaluated the applicability of the framework in two case studies both in IT related areas, namely: IT change management and IT project management. The results show how the framework is not only useful to speed up the risk assessment process, but also to assist the decision making of project managers and IT operators by organizing risk detailed information in a comprehensive way.},
keywords = {Change Management, COBIT, ITIL, Project Management, Risk Management},
pubstate = {published},
tppubtype = {article}
}
Services provided by modern organizations are usually designed, deployed, and supported by large-scale IT infrastructures. In order to obtain the best performance out of these services, it is essential that organizations enforce rational practices for the management of the resources that compose their infrastructures. A common point in most guides and libraries of best practices for IT management – such as ITIL or COBIT – is the explicit concern with the risks related to IT activities. Proactively dealing with adverse and favorable events that may arise during everyday operations might prevent, for example: delay on deployment of services, cost overrun in activities, predictable failures of handled resources, and, consequently, waste of money. Although important, risk management in practice usually lacks in automation and standardization in IT environments. Therefore, in this article, we introduce a framework to support the automation of some key steps of risk management. Our goal is to organize risk information related to IT activities providing support for decision making thus turning risk response planning simpler, faster, and more accurate. The proposed framework is targeted to workflow-based IT management systems. The fundamental approach is to learn from problems reported in the history of previously conducted workflows in order to estimate risks for future executions. We evaluated the applicability of the framework in two case studies both in IT related areas, namely: IT change management and IT project management. The results show how the framework is not only useful to speed up the risk assessment process, but also to assist the decision making of project managers and IT operators by organizing risk detailed information in a comprehensive way.
Bruno Lopes Dalmazo, Weverton Luis da Costa Cordeiro, Abraham Lincoln Rabelo de Sousa, Juliano Araujo Wickboldt, Roben Castagna Lunardi, Ricardo Luis dos Santos, Luciano Paschoal Gaspary, Lisandro Zambenedetti Granville, Claudio Bartolini, Marianne Hickey
Leveraging IT project lifecycle data to predict support costs Inproceedings
In: 12th IFIP/IEEE International Symposium on Integrated Network Management, IM 2011, Dublin, Ireland, 23-27 May 2011, pp. 249–256, IEEE, 2011, ISSN: 1573-0077.
Abstract Links BibTeX Tags: Bayesian Networks COBIT ITIL Project Management Project Suport Costs
@inproceedings{DBLP:conf/im/DalmazoCSWLSGGBH11,
title = {Leveraging IT project lifecycle data to predict support costs},
author = {Bruno Lopes Dalmazo and Weverton Luis da Costa Cordeiro and Abraham Lincoln Rabelo de Sousa and Juliano Araujo Wickboldt and Roben Castagna Lunardi and Ricardo Luis dos Santos and Luciano Paschoal Gaspary and Lisandro Zambenedetti Granville and Claudio Bartolini and Marianne Hickey},
url = {https://doi.org/10.1109/INM.2011.5990698},
doi = {10.1109/INM.2011.5990698},
issn = {1573-0077},
year = {2011},
date = {2011-01-01},
booktitle = {12th IFIP/IEEE International Symposium on Integrated Network Management, IM 2011, Dublin, Ireland, 23-27 May 2011},
pages = {249--256},
publisher = {IEEE},
abstract = {There is an intuitive notion that the costs associated with project support actions, currently deemed too high and increasing, are directly related to the effort spent during their development and test phases. Despite the importance of systematically characterizing and understanding this relationship, little has been done in this realm mainly due to the lack of proper tooling for both sharing information between IT project phases and learning from past experiences. To tackle this issue, in this paper we propose a solution that, leveraging existing IT project lifecycle data, is able to predict support costs. The solution has been evaluated through a case study based on the ISBSG dataset, producing correct estimates for more than 80% of the assessed scenarios.},
keywords = {Bayesian Networks, COBIT, ITIL, Project Management, Project Suport Costs},
pubstate = {published},
tppubtype = {inproceedings}
}
There is an intuitive notion that the costs associated with project support actions, currently deemed too high and increasing, are directly related to the effort spent during their development and test phases. Despite the importance of systematically characterizing and understanding this relationship, little has been done in this realm mainly due to the lack of proper tooling for both sharing information between IT project phases and learning from past experiences. To tackle this issue, in this paper we propose a solution that, leveraging existing IT project lifecycle data, is able to predict support costs. The solution has been evaluated through a case study based on the ISBSG dataset, producing correct estimates for more than 80% of the assessed scenarios.
Bruno Lopes Dalmazo, Abraham Lincoln Rabelo de Sousa, Weverton Luis da Costa Cordeiro, Juliano Araujo Wickboldt, Roben Castagna Lunardi, Ricardo Luis dos Santos, Luciano Paschoal Gaspary, Lisandro Zambenedetti Granville, Claudio Bartolini, Marianne Hickey
IT Project Variables in the Balance: A Bayesian Approach to Prediction of Support Costs Inproceedings
In: 25th Brazilian Symposium on Software Engineering, SBES 2011, Sao Paulo, Brazil, September 28-30, 2011, pp. 224–232, IEEE Computer Society, 2011, ISBN: 978-1-4577-2187-8.
Abstract Links BibTeX Tags: Bayesian Networks COBIT ITIL Project Management Project Suport Costs
@inproceedings{DBLP:conf/sbes/DalmazoSCWLSGGBH11,
title = {IT Project Variables in the Balance: A Bayesian Approach to Prediction of Support Costs},
author = {Bruno Lopes Dalmazo and Abraham Lincoln Rabelo de Sousa and Weverton Luis da Costa Cordeiro and Juliano Araujo Wickboldt and Roben Castagna Lunardi and Ricardo Luis dos Santos and Luciano Paschoal Gaspary and Lisandro Zambenedetti Granville and Claudio Bartolini and Marianne Hickey},
url = {https://doi.org/10.1109/SBES.2011.37},
doi = {10.1109/SBES.2011.37},
isbn = {978-1-4577-2187-8},
year = {2011},
date = {2011-01-01},
booktitle = {25th Brazilian Symposium on Software Engineering, SBES 2011, Sao Paulo, Brazil, September 28-30, 2011},
pages = {224--232},
publisher = {IEEE Computer Society},
abstract = {In the context of Information Technology (IT) project management, it is commonly accepted that the costs associated with support actions are strongly influenced by the effort spent during their development and test phases. Despite the importance of systematically characterizing and understanding this relationship, little has been done in this realm mainly due to the lack of proper mechanisms for both sharing information between IT project phases and learning from past experiences. To tackle this issue, we present a Bayesian model to perform support cost predictions based on data from software development and test phases. In addition, we present a qualitative and quantitative analysis of the model, in order to demonstrate its effectiveness and efficiency, and also discuss its potentialities and limitations.},
keywords = {Bayesian Networks, COBIT, ITIL, Project Management, Project Suport Costs},
pubstate = {published},
tppubtype = {inproceedings}
}
In the context of Information Technology (IT) project management, it is commonly accepted that the costs associated with support actions are strongly influenced by the effort spent during their development and test phases. Despite the importance of systematically characterizing and understanding this relationship, little has been done in this realm mainly due to the lack of proper mechanisms for both sharing information between IT project phases and learning from past experiences. To tackle this issue, we present a Bayesian model to perform support cost predictions based on data from software development and test phases. In addition, we present a qualitative and quantitative analysis of the model, in order to demonstrate its effectiveness and efficiency, and also discuss its potentialities and limitations.
Juliano Araujo Wickboldt
A framework for risk assessment based on analysis of historical information of workflow execution in IT systems Masters Thesis
Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil, 2011.
Abstract Links BibTeX Tags: Change Management COBIT ITIL Project Management Risk Management
@mastersthesis{msc/ndltd/Wickboldt11,
title = {A framework for risk assessment based on analysis of historical information of workflow execution in IT systems},
author = {Juliano Araujo Wickboldt},
url = {http://hdl.handle.net/10183/31121},
year = {2011},
date = {2011-01-01},
school = {Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil},
abstract = {Products and services provided by modern organizations are usually designed, deployed, and supported by large-scale Information Technology (IT) infrastructures. In order to obtain the best performance out of provided products and services, it is essential that these organizations enforce rational practices for the management of resources that compose their infrastructures. For this purpose, in recent years a few standards and libraries of best practices for IT infrastructures and services management have been proposed. Among the most widely accepted proposals, in both academy and industry, is worth mentioning the Information Technology Infrastructure Library (ITIL). A common point in most of those standards and libraries is the explicit concern with the risks related to IT activities. Proactively dealing with adverse and favorable events that may arise during everyday operations might prevent, for example: delay on deployment of services, cost overrun in activities, predictable failures of handled resources, and, consequently waste of money. Although important, risk management in practice usually lacks in automation and standardization in IT environments. Generally, it is performed by stakeholders in interviews and brainstorms, which may be a very time/resource-consuming task and sometimes too imprecise to guide risk related decisions. Therefore, in this dissertation, a framework to support the automation of some key phases of risk management is proposed, aiming to make it simpler, faster, and more accurate. The proposed framework is targeted to work ow-based IT management systems. The main approach is to learn from problems reported in the history of previously conducted work ows in order to estimate risks for future executions. Furthermore, comprehensive and interactive risk reports are proposed aiming to ease the analysis of assessed risks by involved humans. The proposed framework had its applicability evaluated in two case studies both in IT related areas, namely: IT Change Management and IT Project Management. The results show how the framework is not only useful to speed up the risk assessment process, but also to assist the decision making of project managers and IT operators by organizing risk detailed information in a comprehensive way. In addition, the modular approach employed in the design of the proposed framework allows it to be generic enough to t in di erent contexts (changes and projects) and still customizable to adapt to more speci c requirements.},
keywords = {Change Management, COBIT, ITIL, Project Management, Risk Management},
pubstate = {published},
tppubtype = {mastersthesis}
}
Products and services provided by modern organizations are usually designed, deployed, and supported by large-scale Information Technology (IT) infrastructures. In order to obtain the best performance out of provided products and services, it is essential that these organizations enforce rational practices for the management of resources that compose their infrastructures. For this purpose, in recent years a few standards and libraries of best practices for IT infrastructures and services management have been proposed. Among the most widely accepted proposals, in both academy and industry, is worth mentioning the Information Technology Infrastructure Library (ITIL). A common point in most of those standards and libraries is the explicit concern with the risks related to IT activities. Proactively dealing with adverse and favorable events that may arise during everyday operations might prevent, for example: delay on deployment of services, cost overrun in activities, predictable failures of handled resources, and, consequently waste of money. Although important, risk management in practice usually lacks in automation and standardization in IT environments. Generally, it is performed by stakeholders in interviews and brainstorms, which may be a very time/resource-consuming task and sometimes too imprecise to guide risk related decisions. Therefore, in this dissertation, a framework to support the automation of some key phases of risk management is proposed, aiming to make it simpler, faster, and more accurate. The proposed framework is targeted to work ow-based IT management systems. The main approach is to learn from problems reported in the history of previously conducted work ows in order to estimate risks for future executions. Furthermore, comprehensive and interactive risk reports are proposed aiming to ease the analysis of assessed risks by involved humans. The proposed framework had its applicability evaluated in two case studies both in IT related areas, namely: IT Change Management and IT Project Management. The results show how the framework is not only useful to speed up the risk assessment process, but also to assist the decision making of project managers and IT operators by organizing risk detailed information in a comprehensive way. In addition, the modular approach employed in the design of the proposed framework allows it to be generic enough to t in di erent contexts (changes and projects) and still customizable to adapt to more speci c requirements.
2010
Juliano Araujo Wickboldt, Luís Armando Bianchin, Roben Castagna Lunardi, Fabrício Girardi Andreis, Ricardo Luis dos Santos, Bruno Lopes Dalmazo, Weverton Luis da Costa Cordeiro, Abraham Lincoln Rabelo de Sousa, Lisandro Zambenedetti Granville, Luciano Paschoal Gaspary, Claudio Bartolini
Computer-generated comprehensive risk assessment for IT project management Inproceedings
In: 12th IEEE/IFIP Network Operations and Management Symposium, NOMS 2010, 19-23 April 2010, Osaka, Japan, pp. 400–407, IEEE, 2010, ISSN: 1542-1201.
Abstract Links BibTeX Tags: COBIT ITIL Project Management Risk Management
@inproceedings{DBLP:conf/noms/WickboldtBLASDCSGGB10,
title = {Computer-generated comprehensive risk assessment for IT project management},
author = {Juliano Araujo Wickboldt and Luís Armando Bianchin and Roben Castagna Lunardi and Fabrício Girardi Andreis and Ricardo Luis dos Santos and Bruno Lopes Dalmazo and Weverton Luis da Costa Cordeiro and Abraham Lincoln Rabelo de Sousa and Lisandro Zambenedetti Granville and Luciano Paschoal Gaspary and Claudio Bartolini},
url = {https://doi.org/10.1109/NOMS.2010.5488498},
doi = {10.1109/NOMS.2010.5488498},
issn = {1542-1201},
year = {2010},
date = {2010-01-01},
booktitle = {12th IEEE/IFIP Network Operations and Management Symposium, NOMS 2010, 19-23 April 2010, Osaka, Japan},
pages = {400--407},
publisher = {IEEE},
abstract = {Information Technology (IT) products and services provided by modern organizations are designed in projects that often involve large amount of resources (e.g., humans, hardware, and software). It is essential that organizations enforce rational practices for project management, in order to successfully conclude projects and avoid waste of substantial resources. In this context, Risk Management is fundamental to guarantee the accomplishment of project's objectives by dealing with adverse and favorable events. Although important, risk assessment in IT projects is usually performed by stakeholders in interviews and brainstorms which may be a very time/resource-consuming task. Therefore, in this paper, we introduce a solution to automate the risk assessment process, based on the history of previously conducted projects. Furthermore, comprehensive and interactive risk reports are proposed in order to ease the analysis of automatically generated reports. The results show that our solution is not only useful to speed the risk assessment process, but also to assist the decision making of project managers by organizing risk information according to the project structure.},
keywords = {COBIT, ITIL, Project Management, Risk Management},
pubstate = {published},
tppubtype = {inproceedings}
}
Information Technology (IT) products and services provided by modern organizations are designed in projects that often involve large amount of resources (e.g., humans, hardware, and software). It is essential that organizations enforce rational practices for project management, in order to successfully conclude projects and avoid waste of substantial resources. In this context, Risk Management is fundamental to guarantee the accomplishment of project's objectives by dealing with adverse and favorable events. Although important, risk assessment in IT projects is usually performed by stakeholders in interviews and brainstorms which may be a very time/resource-consuming task. Therefore, in this paper, we introduce a solution to automate the risk assessment process, based on the history of previously conducted projects. Furthermore, comprehensive and interactive risk reports are proposed in order to ease the analysis of automatically generated reports. The results show that our solution is not only useful to speed the risk assessment process, but also to assist the decision making of project managers by organizing risk information according to the project structure.