Week 8 Case Study: Database Development
Professor – Dr. Hossein Besharatian
CIS 512
September 14, 2013
Table of Contents
Abstract This paper defines the Software Development Life Cycle phases specifically the Waterfall method with a review of tasks to improve the quality of datasets throughout the cycle. It includes recommendations of actions to be performed for full optimization for enhancing performance from data quality assessment. Although full optimization may be reached throughout the process of SDLC, continued maintenance must be in sued to properly retain the database error-free and protected. An evaluation of three methods and activities to ensure maintenance planning is implemented is discussed. An in-depth analysis of an efficient method for planning concurrency control methods and lock granularities that are available to use that will minimize potential security risks that may occur. Finally, serializability isolation model is introduced that ensures transactions produce less record-level locking while operating the system and how a verification method allows review of proper inputs and error checks to increase consistency.
Introduction
There are several Software Development Life Cycle methods that are availabel to utilize although, the Waterfall SDLC is the most desirable due to the simplicity and straight forward methods utilized and will be discussed in regards to topics in this paper. The benefits of this model type include departmentalization and manegerial control. A schedule can be set for each phase similarly to a how a factory system works from one step to the next in a proceeding manner until the product is complete. However, once in the testing phase it is difficult to revert back to make any additional changes. (SDLC Models., n.d.).
Tasks to Improve Dataset Quality Using SDLC Methodology
The Waterfall SDLC incorparates the following stages of planning and
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