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There is more to software life cycle than just software development. Software development happens once, then evolution takes up the bulk of the software life cycle. In this presentation, I will talk about some approaches needed to deal with legacy systems. This is to aid their update to new business and maintenance requirements in addition to their upgrade to continuous new technologies. Service oriented architecture will be presented to support software evolution in this fast, ever changing environment. Moreover, cloud computing that enables ubiquitous and on demand access to computing resources will be examined. Applied research, such as in health care and M2M domains, involving these innovative technologies will be presented to illustrate their benefits to the advancement of software engineering.
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A Dependency Based Impact Analysis Framework for Service-Oriented System Evolution
Software Evolution: From Legacy Systems,
Service Oriented Architecture
to Cloud Computing
Miriam Capretz
Department of Electrical & Computer Engineering
Faculty of Engineering
Oct 18th, 2012
• Software Legacy Systems
Software Evolution
Service Oriented Architecture (SOA)
SOA Evolution Framework
Cloud Computing
Ongoing Research
Faculty of Engineering @ Western
Agenda Outline
Legacy Systems
Large software systems that we don’t
know how to cope with but are vital to our
organization
Legacy Systems
poorly designed structures poor coding
poor logic poor documentation
Legacy System Structure
D a t a ba s e
U s e r i nt e r fa c e
S e rvi c e s
Ide a l m o de l for di st r ib ut io n R e a l le g a c y s ys te m s
D a t a ba s e
U s e r i nt e r fa c e
S e rvi c e s
Software Maintenance
most expensive phase of
the software life cycle
may account for over 70% of all
efforts of a software organization
Software Evolution
Service Oriented Architecture
Service Oriented Architecture
• Situation today
– Fast pace of business-driven changes
– Need for increasing business agility
– Technology heterogeneity and complexity
• What SOA can offer:
– Encapsulation of complexity
– Improved integration and reuse
– Protection of the legacy investment
– Separation of business process from application
Service Oriented Architecture
• SOA Concepts:
• Service Consumer
• Service Provider
• Service Broker
• Service Bus
Internet
3. Bind
2. Find
Service
Provider
Service
Consumer
1. Publish
Service
Broker
Service Oriented Architecture
Enterprise Service Bus (ESB)
Privacy
Service (PS)
Service
Consumer
Service
Consumer
Service
Consumer
Service
Provider
Service
Provider
Service
Provider
Other
Services
Routing
Service Registry Transport
Replication
• Message Routing
• Message Monitoring
• Service Replication
• Language transformation
The Lifecycle of SOA Evolution
SOA Transition
Quantitative Analysis Dependency based
Impact Analysis
Qualitative Analysis Stability Analysis
Reliability Analysis
SOA Adaptation
Stage 1: SOA Migration
Stage 2: SOA Composition
Stage 3: SOA Evaluation
Process based Service Composition Ontology based Service Composition Security based Service Composition Privacy based Service Composition
Completed Research Ongoing Research
The Lifecycle of SOA Evolution
SOA Transition
Quantitative Analysis Dependency based
Impact Analysis
Qualitative Analysis Stability Analysis
Reliability Analysis
SOA Adaptation
Stage 1: SOA Migration
Stage 2: SOA Composition
Stage 3: SOA Evaluation
Process based Service Composition Ontology based Service Composition Security based Service Composition Privacy based Service Composition
The Lifecycle of SOA Evolution
Completed Research Ongoing Research
The Challenges to a SOA Transition
• The achievement of a high-quality SOA is a long term project that may last several years
• The magnitude of these changes involves considerable risks
• The cost of failure may be detrimental to companies, as it directly affects their strategic decisions
OSTRA (Opportunity-driven Service-oriented TRAnsition) aims to provide a
adaptive approach to managing the iterative and incremental transition to SOA.
OSTRA: An SOA Transition Framework
The goal of OSTRA:
• To balance a continuous analysis of the transition process with the development of opportunities into projects
• To enable organizations to obtain and evaluate short-term goals with its long-term vision
• To allow organizations to acquire practical experience and knowledge on SOA to further improve the ongoing analysis of the transition.
F. Tiba, S. Wang, S. Ramanujam, and M. A. M. Capretz, "OSTRA: A Process Framework for the Transition to Service-Oriented Architecture", in International Journal of Information Technology and the Systems Approach (IJITSA) vol. 2. No. 2, 2009.
The Lifecycle of SOA Evolution
SOA Transition
Quantitative Analysis Dependency based
Impact Analysis
Qualitative Analysis Stability Analysis
Reliability Analysis
SOA Adaptation
Stage 1: SOA Migration
Stage 2: SOA Composition
Stage 3: SOA Evaluation
Process based Service Composition Ontology based Service Composition Security based Service Composition Privacy based Service Composition
Completed Research Ongoing Research
The Lifecycle of SOA Evolution
SOA Transition
Quantitative Analysis Dependency based
Impact Analysis
Qualitative Analysis Stability Analysis
Reliability Analysis
SOA Adaptation
Stage 1: SOA Migration
Stage 2: SOA Composition
Stage 3: SOA Evaluation
Process based Service Composition Ontology based Service Composition Security based Service Composition Privacy based Service Composition
The Lifecycle of SOA Evolution
Completed Research Ongoing Research
Internet
USER A
USER C
USER B
Business DBs
Security DBs
SOAP
Messages
The Services at the
service provider
Authentication &
Security Service
(NSS)
Authorization Service
(AS)Service of QoSS
(SQoSS)Privacy Service
(PS)
Enterprise Service
Bus (ESB)
Auditing Service
(AdS)
Security based Service Composition
H. El Yamany, M. A. M. Capretz and D. S. Allison, “Intelligent Security and Access Control Framework for Service-Oriented Architecture”, Information and Software Technology, Vol. 52, Issue 2, Elsevier, Feb. 2010
The Lifecycle of SOA Evolution
SOA Transition
Quantitative Analysis Dependency based
Impact Analysis
Qualitative Analysis Stability Analysis
Reliability Analysis
SOA Adaptation
Stage 1: SOA Migration
Stage 2: SOA Composition
Stage 3: SOA Evaluation
Process based Service Composition Ontology based Service Composition Security based Service Composition Privacy based Service Composition
The Lifecycle of SOA Evolution
Completed Research Ongoing Research
Privacy Service
Internet
3. Bind
2. Find
Service
Provider
Service
Consumer
1. Publish
Service
Broker
• Policies create Contract
• Who will create a contract?
• Privacy Service
• Intermediary between consumer & provider • Negotiate contract without bias
Privacy
Service (PS)
Contribution Privacy Contract Agreement
1. Publish
2. Find
3. Privacy Inquiry
4. Policy Comparison
Service
Broker
Service
ProviderPrivacy
Service (PS)
Service
Consumer
4. Policy
Comparison
2. Find
1. Publish3. Privacy
Inquiry
4. Policy
Comparison
3. Privacy Inquiry
D. Allison, M. A. M. Capretz, H. El Yamany, S. Wang, “Privacy Protection Framework with Defined Policies for Service-Oriented Architecture”, Journal of Software Engineering and Applications (JSEA), Vol. 5, pp. 200-215, 2012
SOA Transition
SOA Transition
Quantitative Analysis Dependency based
Impact Analysis
Qualitative Analysis Stability Analysis
Reliability Analysis
SOA Adaptation
Stage 1: SOA Migration
Stage 2: SOA Composition
Stage 3: SOA Evaluation
Process based Service Composition Ontology based Service Composition Security based Service Composition Privacy based Service Composition
The Lifecycle of SOA Evolution
Completed Research Ongoing Research
Change Impacts on Services
Service dependency Service synchronization
• How to analyze change impacts on services?
• How to synchronize changes for a service with multiple versions?
S. Wang, M. A. M. Capretz, “Dependency and Entropy Based Impact Analysis for Service-oriented System Evolution”, Proc. of The 2011 IEEE/WIC/ACM International Conferences on Web Intelligence (IEEE/WIC/ACM WI 2011), Campus Scientifique de la Doua, Lyon, France, 22 - 27 August 2011.
S. Wang, M. A. M. Capretz, "A Service Dependency Model for Multiple Service Version Synchronization", Proc. of the 11th IEEE International Symposium on Web Systems Evolution (IEEE WSE 2009), Edmonton, Canada, September 26-27, 2009, IEEE Computer Society.
S. Wang and M. A. M. Capretz, “A Dependency Impact Analysis Model for Web Services Evolution”, Proc. of the IEEE 7th International Conference on Web Services (IEEE ICWS 2009), Los Angeles, California, pp. 359 - 365, July 6-10, 2009, IEEE Computer Society.
Cloud Computing
• Shared pool of configurable computing resources
• Technical aspects
– Be responsive to the solutions offered through cloud services
– Be sufficiently adaptable and scalable
Cloud Computing - Projects
• Transforming Smart Building and Community System into Cloud based Framework
• Powersmiths WOW
– Example of use
M2M and Cloud Architecture Project
Connect seamlessly and efficiently all the different devices Autonomic deployment and management of services on the cloud for M2M
Trust access service for M2M
ADREAM
Mental Health Care Project
TELUS Health Space
Mental Health Engagement Network
• Cloud Computing
– Architecture Evolution
– Autonomic Evolution
– Qualitative Analysis
• Cyber security (privacy, anonymity)
Ongoing Research
M. A. Hayes, M. A. M. Capretz, J. Reed, C. Forchuk, “An Iterative Association Rule Mining Framework to K-Anonymize a Dataset”,
ASE Science Journal, 2012.
