SDLC models define preliminary stages in the terms of “requirements gathering”
or “concept exploration”. It is very important that relevant security personnel are
engaged in the process by the software project team in these early phases of the
SDLC.
The gathering of security requirements is an important preliminary activity.
Requirements must be clear and derived from some source or origin. The
student/reader proposes sources of governance allowing requirements to be
“derived” or indirectly linked to regulations, laws, compliance policies, etc.
DATA SCIENCE METHODOLOGY FOR CYBERSECURITY PROJECTS cscpconf
Cybersecurity solutions are traditionally static and signature-based. The traditional solutions
along with the use of analytic models, machine learning and big data could be improved by
automatically trigger mitigation or provide relevant awareness to control or limit consequences
of threats. This kind of intelligent solutions is covered in the context of Data Science for
Cybersecurity. Data Science provides a significant role in cybersecurity by utilising the power
of data (and big data), high-performance computing and data mining (and machine learning) to
protect users against cybercrimes. For this purpose, a successful data science project requires
an effective methodology to cover all issues and provide adequate resources. In this paper, we
are introducing popular data science methodologies and will compare them in accordance with
cybersecurity challenges. A comparison discussion has also delivered to explain methodologies’
strengths and weaknesses in case of cybersecurity projects.
Knowledge Management and Predictive Analytics in IT Project Risksijtsrd
"Knowledge management and predictive analytics are considered to be unusual partners in today’s technology. However, they can be very good tools that would solve current problems in valuing data. Predictive analytics has now become one of the forecasting tools that is of huge help in information management. Its application in IT project development risk management is very important, where a lot of raw data is involved with risk analysis and prediction. The use of IT project risk management as supported by knowledge management KM will help increase the success rate of IT projects. Knowledge management will bring about additional value to the data needed. This paper presents the usage of KM and predictive analytics to increase the success ratings of projects by predicting the risks that might happen during project development. It explores how KM and predictive analytics can identify risks in IT project development and give recommendations in evaluating the risks that could affect successful completion of IT projects. Mia Torres-Dela Cruz | Subashini A/P Ganapathy | Noor Zuhaili Binti Mohd Yasin ""Knowledge Management and Predictive Analytics in IT Project Risks"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | International Conference on Advanced Engineering and Information Technology , November 2018, URL: https://www.ijtsrd.com/papers/ijtsrd19142.pdf
Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/19142/knowledge-management-and-predictive-analytics-in-it-project-risks/mia-torres-dela-cruz"
Artificial intelligence has been a buzz word that is impacting every industry in the world. With the rise of such advanced technology, there will be always a question regarding its impact on our social life, environment and economy thus impacting all efforts exerted towards sustainable development. In the information era, enormous amounts of data have become available on hand to decision makers. Big data refers to datasets that are not only big, but also high in variety and velocity, which makes them difficult to handle using traditional tools and techniques. Due to the rapid growth of such data, solutions need to be studied and provided in order to handle and extract value and knowledge from these datasets for different industries and business operations. Numerous use cases have shown that AI can ensure an effective supply of information to citizens, users and customers in times of crisis. This paper aims to analyse some of the different methods and scenario which can be applied to AI and big data, as well as the opportunities provided by the application in various business operations and crisis management domains.
RECOMMENDATION GENERATION JUSTIFIED FOR INFORMATION ACCESS ASSISTANCE SERVICE...ijcsit
Recommendation systems only provide more specific recommendations to users. They do not consider
giving a justification for the recommendation. However, the justification for the recommendation allows the
user to make the decision whether or not to accept the recommendation. It also improves user satisfaction
and the relevance of the recommended item. However, the IAAS recommendation system that uses
advisories to make recommendations does not provide a justification for the recommendations. That is why
in this article, our task consists for helping IAAS users to justify their recommendations. For this, we
conducted a related work on architectures and approaches for justifying recommendations in order to
identify an architecture and approach suitable for the context of IAAS. From the analysis in this article, we
note that neither of these approaches uses the notices (IAAS mechanism) to justify their recommendations.
Therefore, existing architectures cannot be used in the context of IAAS. That is why,we have developed a
new IAAS architecture that deals separately with item filtration and justification extraction that
accompanied the item during recommendation generation (Figure 7). And we haveimproved the reviews by
adding users’ reviews on the items. The user’s notices include the Documentary Unit (DU), the user Group
(G), the Justification (J) and the weight (a); noted A=(DU,G,J,a).
Disaster Recovery Planning: untapped Success Factor in an Organizationvishal dineshkumar soni
The disaster recovery planning forms to be an important component of any organization to overcome unplanned adversity. To function the successful organization or business model, the structuring of different sectors plays an important role and disaster planning becomes one such core element. Well before the catastrophic event occurs, an organized planned disaster management strategy can overcome the unexpected event and help to recover. In most organization, are equipped with the latest technological fronts but lacks disaster recovery plan management which may often lead to crisis. Even in the current scenario, where a large number of unexpected events are encountered, scanty measures are being implemented to equipped with disaster recovery plan management. Hence, based on these facts, the present study emphasis, the importance, components, and planning strategies of disaster recovery. Though a large number of reports highlight the structuring and functioning of an organization, only small studies have shed light on the presented topic which became the subject of investigation and study in this minireview
http://www.cloud9realtime.com/ Cloud Computing Disaster Readiness Report by software security giant Symantec in 2012 clearly shows that cloud computing disaster readiness is being embraced in North America and everywhere.
DATA SCIENCE METHODOLOGY FOR CYBERSECURITY PROJECTS cscpconf
Cybersecurity solutions are traditionally static and signature-based. The traditional solutions
along with the use of analytic models, machine learning and big data could be improved by
automatically trigger mitigation or provide relevant awareness to control or limit consequences
of threats. This kind of intelligent solutions is covered in the context of Data Science for
Cybersecurity. Data Science provides a significant role in cybersecurity by utilising the power
of data (and big data), high-performance computing and data mining (and machine learning) to
protect users against cybercrimes. For this purpose, a successful data science project requires
an effective methodology to cover all issues and provide adequate resources. In this paper, we
are introducing popular data science methodologies and will compare them in accordance with
cybersecurity challenges. A comparison discussion has also delivered to explain methodologies’
strengths and weaknesses in case of cybersecurity projects.
Knowledge Management and Predictive Analytics in IT Project Risksijtsrd
"Knowledge management and predictive analytics are considered to be unusual partners in today’s technology. However, they can be very good tools that would solve current problems in valuing data. Predictive analytics has now become one of the forecasting tools that is of huge help in information management. Its application in IT project development risk management is very important, where a lot of raw data is involved with risk analysis and prediction. The use of IT project risk management as supported by knowledge management KM will help increase the success rate of IT projects. Knowledge management will bring about additional value to the data needed. This paper presents the usage of KM and predictive analytics to increase the success ratings of projects by predicting the risks that might happen during project development. It explores how KM and predictive analytics can identify risks in IT project development and give recommendations in evaluating the risks that could affect successful completion of IT projects. Mia Torres-Dela Cruz | Subashini A/P Ganapathy | Noor Zuhaili Binti Mohd Yasin ""Knowledge Management and Predictive Analytics in IT Project Risks"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | International Conference on Advanced Engineering and Information Technology , November 2018, URL: https://www.ijtsrd.com/papers/ijtsrd19142.pdf
Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/19142/knowledge-management-and-predictive-analytics-in-it-project-risks/mia-torres-dela-cruz"
Artificial intelligence has been a buzz word that is impacting every industry in the world. With the rise of such advanced technology, there will be always a question regarding its impact on our social life, environment and economy thus impacting all efforts exerted towards sustainable development. In the information era, enormous amounts of data have become available on hand to decision makers. Big data refers to datasets that are not only big, but also high in variety and velocity, which makes them difficult to handle using traditional tools and techniques. Due to the rapid growth of such data, solutions need to be studied and provided in order to handle and extract value and knowledge from these datasets for different industries and business operations. Numerous use cases have shown that AI can ensure an effective supply of information to citizens, users and customers in times of crisis. This paper aims to analyse some of the different methods and scenario which can be applied to AI and big data, as well as the opportunities provided by the application in various business operations and crisis management domains.
RECOMMENDATION GENERATION JUSTIFIED FOR INFORMATION ACCESS ASSISTANCE SERVICE...ijcsit
Recommendation systems only provide more specific recommendations to users. They do not consider
giving a justification for the recommendation. However, the justification for the recommendation allows the
user to make the decision whether or not to accept the recommendation. It also improves user satisfaction
and the relevance of the recommended item. However, the IAAS recommendation system that uses
advisories to make recommendations does not provide a justification for the recommendations. That is why
in this article, our task consists for helping IAAS users to justify their recommendations. For this, we
conducted a related work on architectures and approaches for justifying recommendations in order to
identify an architecture and approach suitable for the context of IAAS. From the analysis in this article, we
note that neither of these approaches uses the notices (IAAS mechanism) to justify their recommendations.
Therefore, existing architectures cannot be used in the context of IAAS. That is why,we have developed a
new IAAS architecture that deals separately with item filtration and justification extraction that
accompanied the item during recommendation generation (Figure 7). And we haveimproved the reviews by
adding users’ reviews on the items. The user’s notices include the Documentary Unit (DU), the user Group
(G), the Justification (J) and the weight (a); noted A=(DU,G,J,a).
Disaster Recovery Planning: untapped Success Factor in an Organizationvishal dineshkumar soni
The disaster recovery planning forms to be an important component of any organization to overcome unplanned adversity. To function the successful organization or business model, the structuring of different sectors plays an important role and disaster planning becomes one such core element. Well before the catastrophic event occurs, an organized planned disaster management strategy can overcome the unexpected event and help to recover. In most organization, are equipped with the latest technological fronts but lacks disaster recovery plan management which may often lead to crisis. Even in the current scenario, where a large number of unexpected events are encountered, scanty measures are being implemented to equipped with disaster recovery plan management. Hence, based on these facts, the present study emphasis, the importance, components, and planning strategies of disaster recovery. Though a large number of reports highlight the structuring and functioning of an organization, only small studies have shed light on the presented topic which became the subject of investigation and study in this minireview
http://www.cloud9realtime.com/ Cloud Computing Disaster Readiness Report by software security giant Symantec in 2012 clearly shows that cloud computing disaster readiness is being embraced in North America and everywhere.
MANAGING SECURITY AND COMPLIANCE RISKS OF OUTSOURCED IT PROJECTScsandit
Several constraints, such as business, financial, and legal can lead organizations to outsource some of their IT services. Consequently, this might introduce different security risks to major security services such as confidentiality, integrity and availability. Analysing and managing the potential security risks in the early stages of project execution allows organizations to avoid or minimize such security risks. In this paper, we propose an approach that is capable of managing the security and compliance risks of outsourced IT projects. Such an approach aims to allow organizations to minimize, mitigate, or eliminate security risks in the early stages of project execution. It is designed to manage variation in security requirements, as well as provide a methodology to guide organizations for the purpose of security management and implementation
A NEW MATHEMATICAL RISK MANAGEMENT MODEL FOR AGILE SOFTWARE DEVELOPMENT METHO...ijseajournal
This paper proposes a new mathematical model for estimating the cost of explicit Agile software
development risk management with its Impact Benefit s (savings/profits). This is necessitated by the fact
that despite the increase in the need for managing risks explicitly in medium-to-large scale agile software
development projects presently, there are no known ways to estimate explicit risk management
costs/benefits. With the proposed model, explicit risk management procedures alongside with risk
management estimation techniques is made known to Stakeholders who will be able to make the right
decisions on risk management costs and its impacts as well as when to utilise implicit or explicit risk
management. The proposed system proves to be feasible and dependable and is evidently capable of
enhancing the agile methods for use for all sizes of software projects while still maintaining the swiftness of
the agile process.
P
A
P
E
R
S
72 September 2009 ■ Project Management Journal ■ DOI: 10.1002/pmj
INTRODUCTION ■
A
ccording to the United Kingdom’s Royal Academy of Engineering, bil-
lions of pounds are wasted every year on new information technology
(IT) systems. Troubled public-sector IT projects such as the National
Health Service (NHS) National Programme for IT, the Child Support
Agency systems, and HM Revenue and Customs’ Tax Credits IT system have
attracted considerable negative press. They have overrun, cost millions of
pounds more than was budgeted, and, in some cases, have been cancelled
before their costs spiral even further out of control. Terms such as “nightmare”
and “disaster” tend to be attached to such projects. IT projects (the provision
of a service to implement systems and solutions, including a variety of hard-
ware and software products; (Howard, 2001) seem to be more problematic
than other types of projects, with a particularly high rate of failure (McGrew &
Bilotta, 2000; The Standish Group International, 2007; Whittaker, 1999).
Despite well-established best practice project management processes, project
managers appear to be ineffective in the light of such failure.
Organizations such as the Project Management Institute (PMI) and the
United Kingdom’s Association for Project Management (APM) promote best-
practice project management standards. As part of these standards, project risk
management is defined as the systematic process of identifying, analyzing, and
responding to risks. Risk is any project-related event, or managerial behavior,
that is not definitely known in advance but has the potential of adverse conse-
quences on a project objective (PMI, 2004). Project risk management claims to
enable project managers to effectively manage risk and minimize the adverse
influence of risk on the project outcome. However, we have found that IT proj-
ect managers often do not apply a process to manage risks. The reasons for this
vary. Nevertheless, the evidence behind this phenomenon is very scarce, often
descriptive, and inchoate. The purpose of this study was to investigate whether
best practice standards are applied, and if they are not, what reasons led the IT
project manager to decide not to actively approach and manage project risks.
The results show that IT project managers primarily face the problem of
cost justification. Facing costs and time constraints and the uncertainty of
the success of project risk management, they often decided not to actively
manage risks. However, with the benefit of hindsight, we see that such a
decision often turns out to be fatal. Not surprisingly, in projects where proj-
ect risk management is not used, a greater degree of risks materialize than in
those projects where the IT project manager does actively manage risks.
Project Risk Management
Risks may potentially endanger the ability of the project manager to meet
the predefined project objectives, such as scope, time, and cost; tasks may
The .
PRM is a very important task during project planning and project control. The most popular computer programs used for project risk management are still somewhat primitive. They have not yet been developed into commonplace tools of project management in the same way as time management programs
A risk management framework for distributed scrum using PRINCE2 methodologyjournalBEEI
The distributed Agile development approach has been accepted by software companies due to its promised benefits. However, due to the controversial nature of distributed and Agile development, significant challenges arise from spatial, temporal, social, and cultural differences between distributed teams. Scrum, as the most popular Agile methodology, assumes that team members work together in the same room. But this principle does not apply in a realistic scenario where Scrum teams are distributed in different locations. Hence, proposing a risk management framework is necessary in order to succeed such teams. The purpose of this research was to propose a risk management framework in Scrum using the PRINCE2 methodology, which includes the perceived risks in distributed Scrum projects and their causes and roots for managing these risks. By embedding distributed Scrum in delivery layer of PRINCE2 and considering perceived risk factors, along with a hybrid model, a risk management framework was suggested. This framework has been used in a case study, and the results showed its proper functionality in detecting and eliminating potential risks in the case under study. Also, using this framework led to higher team efficiency in terms of increasing the number of completed user stories in each sprint.
Risk management framework in Agile software development methodologyIJECEIAES
In software projects that use the Agile methodology, the focus is on development in small iterations to allow both frequent changes and client involvement. This methodology affects the risks that may happen in Agile software projects. Hence, these projects need a clear risk management process to reduce risks and address the problems before they arise. Most software production methodologies must use a framework for risk management, but currently, there is no such framework for the Agile methodology. Therefore, we present a risk management framework for projects that use the Agile methodology to help the software development process and increase the likelihood of the project’s success. The proposed framework states the necessary measures for risk management according to the ISO31000 standard at each stage of the Agile methodology. We evaluated the proposed framework in two running software projects with an Agile methodology by a number of expert experts. The results show that using our proposed framework increases the average positive risk reaction score by 49%.
SECURING SOFTWARE DEVELOPMENT STAGES USING ASPECT-ORIENTATION CONCEPTSijseajournal
In the past 10 years, the research community has produced a significant number of design notations to
represent security properties and concepts in a design artifact. The need to improve the security of software
has become a key issue for developers.The security function needs to be incorporated into the software
development process at the requirement, analysis, design, and implementation stages as doing so may help
to smooth integration and to protect systems from attack. Security affects all aspects ofa software program,
which makes the incorporation of security features a crosscutting concern. Therefore, this paper looks at
the feasibility and potential advantages of employing an aspect orientation approach in the software
development lifecycle to ensure efficient integration of security.These notations are aimed at documenting
and analyzing security in a software design model. It also proposes a model called the Aspect-Oriented
Software Security Development Life Cycle (AOSSDLC), which covers arrange of security activities and
deliverables for each development stage. It is concluded that aspect orientation is one of the best options
available for installing security features not least because of the benefit that no changes need to be made to
the existing software structure.
future internetArticleERMOCTAVE A Risk Management FraDustiBuckner14
future internet
Article
ERMOCTAVE: A Risk Management Framework for IT
Systems Which Adopt Cloud Computing
Masky Mackita 1, Soo-Young Shin 2 and Tae-Young Choe 3,*
1 ING Bank, B-1040 Brussels, Belgium; [email protected]
2 Department of IT Convergence Engineering, Kumoh National Institute of Technology, Gumi 39177, Korea;
[email protected]
3 Department of Computer Engineering, Kumoh National Institute of Technology, Gumi 39177, Korea
* Correspondence: [email protected]; Tel.: +82-54-478-7526
Received: 22 June 2019; Accepted: 3 September 2019; Published: 10 September 2019
����������
�������
Abstract: Many companies are adapting cloud computing technology because moving to the cloud
has an array of benefits. During decision-making, having processed for adopting cloud computing,
the importance of risk management is progressively recognized. However, traditional risk management
methods cannot be applied directly to cloud computing when data are transmitted and processed by
external providers. When they are directly applied, risk management processes can fail by ignoring
the distributed nature of cloud computing and leaving numerous risks unidentified. In order to fix
this backdrop, this paper introduces a new risk management method, Enterprise Risk Management
for Operationally Critical Threat, Asset, and Vulnerability Evaluation (ERMOCTAVE), which combines
Enterprise Risk Management and Operationally Critical Threat, Asset, and Vulnerability Evaluation for
mitigating risks that can arise with cloud computing. ERMOCTAVE is composed of two risk management
methods by combining each component with another processes for comprehensive perception of risks.
In order to explain ERMOCTAVE in detail, a case study scenario is presented where an Internet seller
migrates some modules to Microsoft Azure cloud. The functionality comparison with ENISA and
Microsoft cloud risk assessment shows that ERMOCTAVE has additional features, such as key objectives
and strategies, critical assets, and risk measurement criteria.
Keywords: risk management; ERM; OCTAVE; cloud computing; Microsoft Azure
1. Introduction
Cloud computing is a technology that uses virtualized resources to deliver IT services through the
Internet. It can also be defined as a model that allows network access to a pool of computing resources
such as servers, applications, storage, and services, which can be quickly offered by service providers [1].
One of properties of the cloud is its distributed nature [2]. Data in the cloud environments had become
gradually distributed, moving from a centralized model to a distributed model. That distributed nature
causes cloud computing actors to face problems like loss of data control, difficulties to demonstrate
compliance, and additional legal risks as data migration from one legal jurisdiction to another. An example
is Salesforce.com, which suffered a huge outage, locking more than 900,000 subscribers out of important
resources needed for business trans ...
future internetArticleERMOCTAVE A Risk Management Fra.docxgilbertkpeters11344
future internet
Article
ERMOCTAVE: A Risk Management Framework for IT
Systems Which Adopt Cloud Computing
Masky Mackita 1, Soo-Young Shin 2 and Tae-Young Choe 3,*
1 ING Bank, B-1040 Brussels, Belgium; [email protected]
2 Department of IT Convergence Engineering, Kumoh National Institute of Technology, Gumi 39177, Korea;
[email protected]
3 Department of Computer Engineering, Kumoh National Institute of Technology, Gumi 39177, Korea
* Correspondence: [email protected]; Tel.: +82-54-478-7526
Received: 22 June 2019; Accepted: 3 September 2019; Published: 10 September 2019
����������
�������
Abstract: Many companies are adapting cloud computing technology because moving to the cloud
has an array of benefits. During decision-making, having processed for adopting cloud computing,
the importance of risk management is progressively recognized. However, traditional risk management
methods cannot be applied directly to cloud computing when data are transmitted and processed by
external providers. When they are directly applied, risk management processes can fail by ignoring
the distributed nature of cloud computing and leaving numerous risks unidentified. In order to fix
this backdrop, this paper introduces a new risk management method, Enterprise Risk Management
for Operationally Critical Threat, Asset, and Vulnerability Evaluation (ERMOCTAVE), which combines
Enterprise Risk Management and Operationally Critical Threat, Asset, and Vulnerability Evaluation for
mitigating risks that can arise with cloud computing. ERMOCTAVE is composed of two risk management
methods by combining each component with another processes for comprehensive perception of risks.
In order to explain ERMOCTAVE in detail, a case study scenario is presented where an Internet seller
migrates some modules to Microsoft Azure cloud. The functionality comparison with ENISA and
Microsoft cloud risk assessment shows that ERMOCTAVE has additional features, such as key objectives
and strategies, critical assets, and risk measurement criteria.
Keywords: risk management; ERM; OCTAVE; cloud computing; Microsoft Azure
1. Introduction
Cloud computing is a technology that uses virtualized resources to deliver IT services through the
Internet. It can also be defined as a model that allows network access to a pool of computing resources
such as servers, applications, storage, and services, which can be quickly offered by service providers [1].
One of properties of the cloud is its distributed nature [2]. Data in the cloud environments had become
gradually distributed, moving from a centralized model to a distributed model. That distributed nature
causes cloud computing actors to face problems like loss of data control, difficulties to demonstrate
compliance, and additional legal risks as data migration from one legal jurisdiction to another. An example
is Salesforce.com, which suffered a huge outage, locking more than 900,000 subscribers out of important
resources needed for business trans.
The disconcerting increase in the number of security attacks on software calls for an imminent need for including secure development practices within the software development life cycle. The software security management system has received considerable attention lately and various efforts have been made in this direction. However, security is usually only considered in the early stages of the development of software. Thus, this leads to stating other vulnerabilities from a security perspective. Moreover, despite the abundance of security knowledge available online and in books, the systems that are being developed are seldom sufficiently secure. In this paper, we have highlighted the need for including application context sensitive modeling within a case-based software security management system. Furthermore, we have taken the context-driven and ontology-based frameworks and prioritized their attributes according to their weights which were achieved by using the Fuzzy AHP methodology.
Domain Driven Design and Soft Systems Methodology for Information Systems in ...Panagiotis Papaioannou
Domain-Driven Design (DDD) is a software development approach intended for complex projects where complexity refers to the requirements as well as the interactions between designers, developers and users of the product. It was introduced by Eric Evans (2004) in his book of the same title.
Soft Systems Methodology (SSM) is an approach to the management of change that has been developed primarily by Peter Checkland and his colleagues as an action research program.
Since both DDD and SSM are based on models, a modelling approach is needed. Design and Control Systemic Methodology (DCSYM) offers a means to create models in a systemic context and to use them as a basis for the collaboration between the interested parties.
MANAGING SECURITY AND COMPLIANCE RISKS OF OUTSOURCED IT PROJECTScsandit
Several constraints, such as business, financial, and legal can lead organizations to outsource some of their IT services. Consequently, this might introduce different security risks to major security services such as confidentiality, integrity and availability. Analysing and managing the potential security risks in the early stages of project execution allows organizations to avoid or minimize such security risks. In this paper, we propose an approach that is capable of managing the security and compliance risks of outsourced IT projects. Such an approach aims to allow organizations to minimize, mitigate, or eliminate security risks in the early stages of project execution. It is designed to manage variation in security requirements, as well as provide a methodology to guide organizations for the purpose of security management and implementation
A NEW MATHEMATICAL RISK MANAGEMENT MODEL FOR AGILE SOFTWARE DEVELOPMENT METHO...ijseajournal
This paper proposes a new mathematical model for estimating the cost of explicit Agile software
development risk management with its Impact Benefit s (savings/profits). This is necessitated by the fact
that despite the increase in the need for managing risks explicitly in medium-to-large scale agile software
development projects presently, there are no known ways to estimate explicit risk management
costs/benefits. With the proposed model, explicit risk management procedures alongside with risk
management estimation techniques is made known to Stakeholders who will be able to make the right
decisions on risk management costs and its impacts as well as when to utilise implicit or explicit risk
management. The proposed system proves to be feasible and dependable and is evidently capable of
enhancing the agile methods for use for all sizes of software projects while still maintaining the swiftness of
the agile process.
P
A
P
E
R
S
72 September 2009 ■ Project Management Journal ■ DOI: 10.1002/pmj
INTRODUCTION ■
A
ccording to the United Kingdom’s Royal Academy of Engineering, bil-
lions of pounds are wasted every year on new information technology
(IT) systems. Troubled public-sector IT projects such as the National
Health Service (NHS) National Programme for IT, the Child Support
Agency systems, and HM Revenue and Customs’ Tax Credits IT system have
attracted considerable negative press. They have overrun, cost millions of
pounds more than was budgeted, and, in some cases, have been cancelled
before their costs spiral even further out of control. Terms such as “nightmare”
and “disaster” tend to be attached to such projects. IT projects (the provision
of a service to implement systems and solutions, including a variety of hard-
ware and software products; (Howard, 2001) seem to be more problematic
than other types of projects, with a particularly high rate of failure (McGrew &
Bilotta, 2000; The Standish Group International, 2007; Whittaker, 1999).
Despite well-established best practice project management processes, project
managers appear to be ineffective in the light of such failure.
Organizations such as the Project Management Institute (PMI) and the
United Kingdom’s Association for Project Management (APM) promote best-
practice project management standards. As part of these standards, project risk
management is defined as the systematic process of identifying, analyzing, and
responding to risks. Risk is any project-related event, or managerial behavior,
that is not definitely known in advance but has the potential of adverse conse-
quences on a project objective (PMI, 2004). Project risk management claims to
enable project managers to effectively manage risk and minimize the adverse
influence of risk on the project outcome. However, we have found that IT proj-
ect managers often do not apply a process to manage risks. The reasons for this
vary. Nevertheless, the evidence behind this phenomenon is very scarce, often
descriptive, and inchoate. The purpose of this study was to investigate whether
best practice standards are applied, and if they are not, what reasons led the IT
project manager to decide not to actively approach and manage project risks.
The results show that IT project managers primarily face the problem of
cost justification. Facing costs and time constraints and the uncertainty of
the success of project risk management, they often decided not to actively
manage risks. However, with the benefit of hindsight, we see that such a
decision often turns out to be fatal. Not surprisingly, in projects where proj-
ect risk management is not used, a greater degree of risks materialize than in
those projects where the IT project manager does actively manage risks.
Project Risk Management
Risks may potentially endanger the ability of the project manager to meet
the predefined project objectives, such as scope, time, and cost; tasks may
The .
PRM is a very important task during project planning and project control. The most popular computer programs used for project risk management are still somewhat primitive. They have not yet been developed into commonplace tools of project management in the same way as time management programs
A risk management framework for distributed scrum using PRINCE2 methodologyjournalBEEI
The distributed Agile development approach has been accepted by software companies due to its promised benefits. However, due to the controversial nature of distributed and Agile development, significant challenges arise from spatial, temporal, social, and cultural differences between distributed teams. Scrum, as the most popular Agile methodology, assumes that team members work together in the same room. But this principle does not apply in a realistic scenario where Scrum teams are distributed in different locations. Hence, proposing a risk management framework is necessary in order to succeed such teams. The purpose of this research was to propose a risk management framework in Scrum using the PRINCE2 methodology, which includes the perceived risks in distributed Scrum projects and their causes and roots for managing these risks. By embedding distributed Scrum in delivery layer of PRINCE2 and considering perceived risk factors, along with a hybrid model, a risk management framework was suggested. This framework has been used in a case study, and the results showed its proper functionality in detecting and eliminating potential risks in the case under study. Also, using this framework led to higher team efficiency in terms of increasing the number of completed user stories in each sprint.
Risk management framework in Agile software development methodologyIJECEIAES
In software projects that use the Agile methodology, the focus is on development in small iterations to allow both frequent changes and client involvement. This methodology affects the risks that may happen in Agile software projects. Hence, these projects need a clear risk management process to reduce risks and address the problems before they arise. Most software production methodologies must use a framework for risk management, but currently, there is no such framework for the Agile methodology. Therefore, we present a risk management framework for projects that use the Agile methodology to help the software development process and increase the likelihood of the project’s success. The proposed framework states the necessary measures for risk management according to the ISO31000 standard at each stage of the Agile methodology. We evaluated the proposed framework in two running software projects with an Agile methodology by a number of expert experts. The results show that using our proposed framework increases the average positive risk reaction score by 49%.
SECURING SOFTWARE DEVELOPMENT STAGES USING ASPECT-ORIENTATION CONCEPTSijseajournal
In the past 10 years, the research community has produced a significant number of design notations to
represent security properties and concepts in a design artifact. The need to improve the security of software
has become a key issue for developers.The security function needs to be incorporated into the software
development process at the requirement, analysis, design, and implementation stages as doing so may help
to smooth integration and to protect systems from attack. Security affects all aspects ofa software program,
which makes the incorporation of security features a crosscutting concern. Therefore, this paper looks at
the feasibility and potential advantages of employing an aspect orientation approach in the software
development lifecycle to ensure efficient integration of security.These notations are aimed at documenting
and analyzing security in a software design model. It also proposes a model called the Aspect-Oriented
Software Security Development Life Cycle (AOSSDLC), which covers arrange of security activities and
deliverables for each development stage. It is concluded that aspect orientation is one of the best options
available for installing security features not least because of the benefit that no changes need to be made to
the existing software structure.
future internetArticleERMOCTAVE A Risk Management FraDustiBuckner14
future internet
Article
ERMOCTAVE: A Risk Management Framework for IT
Systems Which Adopt Cloud Computing
Masky Mackita 1, Soo-Young Shin 2 and Tae-Young Choe 3,*
1 ING Bank, B-1040 Brussels, Belgium; [email protected]
2 Department of IT Convergence Engineering, Kumoh National Institute of Technology, Gumi 39177, Korea;
[email protected]
3 Department of Computer Engineering, Kumoh National Institute of Technology, Gumi 39177, Korea
* Correspondence: [email protected]; Tel.: +82-54-478-7526
Received: 22 June 2019; Accepted: 3 September 2019; Published: 10 September 2019
����������
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Abstract: Many companies are adapting cloud computing technology because moving to the cloud
has an array of benefits. During decision-making, having processed for adopting cloud computing,
the importance of risk management is progressively recognized. However, traditional risk management
methods cannot be applied directly to cloud computing when data are transmitted and processed by
external providers. When they are directly applied, risk management processes can fail by ignoring
the distributed nature of cloud computing and leaving numerous risks unidentified. In order to fix
this backdrop, this paper introduces a new risk management method, Enterprise Risk Management
for Operationally Critical Threat, Asset, and Vulnerability Evaluation (ERMOCTAVE), which combines
Enterprise Risk Management and Operationally Critical Threat, Asset, and Vulnerability Evaluation for
mitigating risks that can arise with cloud computing. ERMOCTAVE is composed of two risk management
methods by combining each component with another processes for comprehensive perception of risks.
In order to explain ERMOCTAVE in detail, a case study scenario is presented where an Internet seller
migrates some modules to Microsoft Azure cloud. The functionality comparison with ENISA and
Microsoft cloud risk assessment shows that ERMOCTAVE has additional features, such as key objectives
and strategies, critical assets, and risk measurement criteria.
Keywords: risk management; ERM; OCTAVE; cloud computing; Microsoft Azure
1. Introduction
Cloud computing is a technology that uses virtualized resources to deliver IT services through the
Internet. It can also be defined as a model that allows network access to a pool of computing resources
such as servers, applications, storage, and services, which can be quickly offered by service providers [1].
One of properties of the cloud is its distributed nature [2]. Data in the cloud environments had become
gradually distributed, moving from a centralized model to a distributed model. That distributed nature
causes cloud computing actors to face problems like loss of data control, difficulties to demonstrate
compliance, and additional legal risks as data migration from one legal jurisdiction to another. An example
is Salesforce.com, which suffered a huge outage, locking more than 900,000 subscribers out of important
resources needed for business trans ...
future internetArticleERMOCTAVE A Risk Management Fra.docxgilbertkpeters11344
future internet
Article
ERMOCTAVE: A Risk Management Framework for IT
Systems Which Adopt Cloud Computing
Masky Mackita 1, Soo-Young Shin 2 and Tae-Young Choe 3,*
1 ING Bank, B-1040 Brussels, Belgium; [email protected]
2 Department of IT Convergence Engineering, Kumoh National Institute of Technology, Gumi 39177, Korea;
[email protected]
3 Department of Computer Engineering, Kumoh National Institute of Technology, Gumi 39177, Korea
* Correspondence: [email protected]; Tel.: +82-54-478-7526
Received: 22 June 2019; Accepted: 3 September 2019; Published: 10 September 2019
����������
�������
Abstract: Many companies are adapting cloud computing technology because moving to the cloud
has an array of benefits. During decision-making, having processed for adopting cloud computing,
the importance of risk management is progressively recognized. However, traditional risk management
methods cannot be applied directly to cloud computing when data are transmitted and processed by
external providers. When they are directly applied, risk management processes can fail by ignoring
the distributed nature of cloud computing and leaving numerous risks unidentified. In order to fix
this backdrop, this paper introduces a new risk management method, Enterprise Risk Management
for Operationally Critical Threat, Asset, and Vulnerability Evaluation (ERMOCTAVE), which combines
Enterprise Risk Management and Operationally Critical Threat, Asset, and Vulnerability Evaluation for
mitigating risks that can arise with cloud computing. ERMOCTAVE is composed of two risk management
methods by combining each component with another processes for comprehensive perception of risks.
In order to explain ERMOCTAVE in detail, a case study scenario is presented where an Internet seller
migrates some modules to Microsoft Azure cloud. The functionality comparison with ENISA and
Microsoft cloud risk assessment shows that ERMOCTAVE has additional features, such as key objectives
and strategies, critical assets, and risk measurement criteria.
Keywords: risk management; ERM; OCTAVE; cloud computing; Microsoft Azure
1. Introduction
Cloud computing is a technology that uses virtualized resources to deliver IT services through the
Internet. It can also be defined as a model that allows network access to a pool of computing resources
such as servers, applications, storage, and services, which can be quickly offered by service providers [1].
One of properties of the cloud is its distributed nature [2]. Data in the cloud environments had become
gradually distributed, moving from a centralized model to a distributed model. That distributed nature
causes cloud computing actors to face problems like loss of data control, difficulties to demonstrate
compliance, and additional legal risks as data migration from one legal jurisdiction to another. An example
is Salesforce.com, which suffered a huge outage, locking more than 900,000 subscribers out of important
resources needed for business trans.
The disconcerting increase in the number of security attacks on software calls for an imminent need for including secure development practices within the software development life cycle. The software security management system has received considerable attention lately and various efforts have been made in this direction. However, security is usually only considered in the early stages of the development of software. Thus, this leads to stating other vulnerabilities from a security perspective. Moreover, despite the abundance of security knowledge available online and in books, the systems that are being developed are seldom sufficiently secure. In this paper, we have highlighted the need for including application context sensitive modeling within a case-based software security management system. Furthermore, we have taken the context-driven and ontology-based frameworks and prioritized their attributes according to their weights which were achieved by using the Fuzzy AHP methodology.
Domain Driven Design and Soft Systems Methodology for Information Systems in ...Panagiotis Papaioannou
Domain-Driven Design (DDD) is a software development approach intended for complex projects where complexity refers to the requirements as well as the interactions between designers, developers and users of the product. It was introduced by Eric Evans (2004) in his book of the same title.
Soft Systems Methodology (SSM) is an approach to the management of change that has been developed primarily by Peter Checkland and his colleagues as an action research program.
Since both DDD and SSM are based on models, a modelling approach is needed. Design and Control Systemic Methodology (DCSYM) offers a means to create models in a systemic context and to use them as a basis for the collaboration between the interested parties.
Similar to Introduction of project risk in an information assurance environment (20)
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.