This paper presents a novel approach for generation of test cases from UML design diagrams. In this new generation scheme, we have considered use case diagram, activity diagram and sequence diagram. Our approach consists of converting the use case diagram into use case diagram graph (UDG), activity diagram into activity diagram graph (ADG) and sequence diagram into sequence diagram graph (SDG). After that three graphs UDG, ADG and SDG are integrated to form System Graph (SYTG). The System Graph is then traversed to generate test cases also optimized using Genetic Algorithm. The generated test cases are suitable to detect maximum number of faults like use case dependency, interaction, scenario, pre-post condition faults and error handling.

Software testing is the most critical phase of the Software Development Life Cycle. Software under test goes through various phases, which as per the study are test analysis; test planning, test case/data/environment preparation, test execution, bug logging and tracking and closure. There is lot of research which has been done in past to optimize overall testing process with intent of improving quality of software in a minimum amount of time. After evaluating all available testing processes it has been found that different development models are used for different types of applications and different testing techniques are performed to test the same. Based on the research during the study of this paper, it has been analyzed that each company modifies their testing process as per the needs and performs testing based on the criticality of the applications. The most critical components of each application have to be tested thoroughly to ensure their functional, performance and security features are behaving as expected. This paper talks about ensuring the quality of all types of software applications by performing certain types of testing techniques and optimized software testing processes. As per the study and research done testing types can be categorized under three major testing techniques which are Functional, Performance and Security Testing and major software testing process called as Analysis, Preparation and Execution and closure.

Cloud computing is one of the latest and upcoming paradigm that offers huge benefits such as reduced time to market, unlimited computing power and flexible computing capabilities. It is a model that provides an on-demand network access to a shared pool of computing resources It comprises a large number of concepts primarily Load Balancing, Scheduling, etc. This paper discusses load balancing as a mechanism to distribute the workload evenly to all nodes in the system to achieve a higher resource utilization and user satisfaction. It helps in allocation and de-allocation of instances of applications without failure. This paper reports a new load balancing technique and its comparison with round robin providing encouraging results.

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Component Based Software Engineering (CBSE) is anenvironment which uses software components as main building block during designing and creation of a software system. A Component is a software entity with independent identity which has a perceptible reusable interface. This property motivates the programmer to design and develop Softwareusing Component Based Software Development (CBSD) and further Software Metrics for these systems. In this paper, new early stage component based software metrics are designed for CBSD namely Component Composition Metrics (CCM) & Component Ratio Metrics (CRM) to determine the Effort using Likert 3-point rating in terms of time, cost, quality, operability, changeability, adaptability etc.for a software system. CCM and CRM are designed and analyzed using knot model of component based software life cycle.

Dijkstra's Algorithm is used to find the shortest path from one node to another node in a graph.Dijkstra's algorithm is also known as a single source shortest path algorithm. It is applied only on positive weights. In this paper, Global Positioning System is used for adding a new functionality in Dijkstra's algorithm. In this paper, using Global Positioning System the position parameter is added in the Dijkstra's algorithm. From this current position is retrieved at any point. By using this current position, the distance can be determined from one node to another node. The shortest path can also find out using this distance. For this an algorithm is proposed.

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Root Cause Analysis (RCA) is the process of identifying project issues, correcting them and taking preventive actions to avoid occurrences of such issues in the future. Issues could be variance in schedule, effort, cost, productivity, expected results of software, performance parameters and customer satisfaction. RCA also involves collecting valid data, analyzing it, deriving metrics and finding root causes using RCA methods. In this paper we will do Root cause analysis of some severe software failures that happened in the past and of some failures in ongoing projects in the software Industry. We will also describe various RCA methods and processes used in the software Industry to reduce the chances of software failure.