Custom application essay

Into how short a time can I condense the action without infringing upon a plausible motiva- tion?

To what extent shall I be able to concentrate the action m a single place? How much sketching over of events will be necessary between the various phases? Does one phase of the action lead to another or do the phases lead to a common significant result?

Is Writing the Short Story 433 there any way m which I can give my story greater plausibility?

The views and conclusions contained herein are my own and should not be interpreted as representing the policies or opinions of Carnegie Mellon University or any of the sponsors of this research. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden, custom application essay to Washington Headquarters Services, Directorate for Information Operations and Reports, 1215 Jefferson Davis Highway, Suite 1204, Arlington VA 22202-4302. Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to a penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number. TITLE AND SUBTITLE Software Architecture Evolution 5a. PERFORMING ORGANIZATION Carnegie Mellon University,School of Computer Science,Institute for report number Software Research,Pittsurgh,PA,15213 9. ABSTRACT Many software systems eventually undergo changes to their basic architectural structure. Such changes may be prompted by new feature requests, new quality attribute custom application essay requirements, changing technology, or other reasons. Whatever the causes, architecture evolution is commonplace in real-world software projects. In particular, they have little assistance in planning alternatives, making trade-offs among these different alternatives, or applying best practices for particular domains. To address this, we have developed an approach for assisting architects in planning and reasoning about software architecture evolution. Our approach is based on modeling and analyzing potential evolution paths that represent different ways of evolving the system.

We represent an evolution path as a sequence of transitional architectural states leading from the initial architecture to the target architecture along with evolution operators that characterize the transitions among these custom application essay states. We support analysis of evolution paths through the definition and application of constraints that express rules governing the evolution of the systemand evaluation functions that assess path quality. Finally, a set of these modeling elements may be grouped together into an evolution style that encapsulates a body of knowledge relevant to a particular domain of architecture evolution. First, we evaluate its applicability to real-world architecture evolution projects. This is accomplished through case studies of two very different software organizations. Second, we undertake a formal evaluation of the computational complexity of verifying evolution constraints. Finally, we evaluate the implementability of the approach based on our experiences developing prototype tools for software architecture evolution. THIS PAGE unclassified Same as Report (SAR) 238 Standard Form 298 (Rev.

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Such changes may be prompted by new feature requests, new quality attribute requirements, changing technology, or other reasons.

In particular, they have litde assistance in planning alternatives, making trade-offs among these different alternatives, or applying best practices for particular domains.

To address this, we have developed an approach for assisting architects in planning and reasoning about software architecture evolution. Our approach is based on modeling and analyzing potential evolution paths that represent different ways of evolving the system. We represent an evolution path as a sequence of transitional architectural states custom application essay leading from the initial architecture to the target architecture, along with evolution operators that characterize the transitions among these states.

We support analysis of evolution paths through the definition and application of constraints that express rules governing the evolution of the system and evaluation functions that assess path quality.

Finally, a set of these modeling elements may be grouped together into an evolution style that encapsulates a body of knowledge relevant to a particular domain of architecture evolution. First, we evaluate its applicability to real-world architecture evolution projects.

This is accomplished through case studies of two very different software organizations.

Finally, we evaluate the implementability of the approach based on our experiences developing prototype tools for software architecture evolution. This dissertation is dedicated to the memory of my grandfather. I would like to begin by thanking my thesis advisor, David Garlan, who has been my principal resource and guide throughout my graduate studies. The truth is that David is a very versatile advisor.

He has a remarkable knack for providing the right kind of help and the right amount of guidance at the right time. I am deeply grateful for the guidance he has given custom application essay me over the last six years.

The other members of my thesis committee have done much to improve the quality of this work. Travis Breaux was particularly helpful in providing guidance on research methodology and in encouraging me to carry out my empirical evaluation as meticulously and thoughtfully as I could. Ipek Ozkaya has been supportive of my research and influential in directing its course since long before I asked her to join my thesis committee. She has been a continual source of helpful advice, guidance, and encouragement throughout my graduate studies. Finally, my external committee member, Kevin Sullivan, provided a number of useful comments that have helped to shape the direction of my thesis research. I am grateful to all four of my thesis committee members for their insight and guidance. Over the years, I have been fortunate to receive useful input on my research from a great many people. I would also like to thank past and present members of the ABLE research group, as well as the students, faculty, and staff of the Institute for Software Research at large. I very much appreciate the supportive, collegial environment that ISR has provided for me during my time here.

I am very grateful to all the organizations that have provided support vii for this work.

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