Suma. V

Sangita Gupta, Suma. V

One of the essential requisites of any software industry is the development of customer satisfied products. However, accomplishing the aforesaid business objective depends upon the depth of quality of product that is engineered in the organization. Thus, generation of high quality depends upon process, which is in turn depends upon the people. Existing scenario in IT industries demands a requirement for deploying the right personnel for achieving desirable quality in the product through the existing process. The goal of this paper is to identify the criteria which will be used in industrial practice to select members of a software project team, and to look for relationships between these criteria and project success. Using semi-structured interviews and qualitative methods for data analysis and synthesis, a set of team building criteria was identified from project managers in industry. The findings show that the consistent use of the set of criteria correlated significantly with project success, and the criteria related to human factors present strong correlations with software quality and thereby project success. This knowledge enables decision making for project managers in allocation of right personnel to realize desired level.

Poornima U. S., Suma. V

In recent years, the complexity of the software is increasing due to automation of every segment of application. Software is nowhere remained as one-time development product since its architectural dimension is increasing with addition of new requirements over a short duration. Object Oriented Development (OOD) methodology is a popular development approach for such systems which perceives and models the requirements as real world entities. Classes and Objects logically represent the entities in the solution space and quality of the software is directly depending on the design quality of these logical entities. Cohesion and Coupling (C&C) are two major design decisive factors in OOD which impacts the design of a class and dependency between them in complex software. It is also most significant to measure C&C for software to control the complexity level as requirements increases. Several metrics are in practice to quantify C&C which plays a major role in measuring the design quality. The software industries are focusing on increasing and measuring the quality of the product through quality design to continue their market image in the competitive world. As a part of our research, this paper highlights on the impact of C&C on design quality of a complex system and its measures to quantify the overall quality of software.

Poornima U. S., Suma. V

Object oriented approach is one of the popular software development approach for managing complex systems with massive set of requirements. Unlike procedural approach, this approach captures the requirements as set of data rather than services. Further, class is considered as a key unit of the solution-domain with data and services wrapped together, representing architectural design of a basic module. Thus, system complexity is directly related to the number of modules and the degree of interaction between them. This could be mapped as a functional diagram with cardinalities between the modules. However, complexity is always a threat to quality at each stage of software development. Design phase is therefore one of the core influencing phases during development that selects the right architecture based on the problem statement which is bound to be measured for quality. Hence, software industries adapts several organization- specific principles, domain-specific patterns, metric standards and best practices to improve and measure the quality of both process and product. The paper highlights the factors which influence the overall design quality and metrics implication in improving the quality of final product. It also presents the solution domain as an interdependent layered architecture which has a greater impact on concluding the quality of the end product. This approach of design is a unique contribution to the domain of Object Oriented approach of software development. It also focuses on design metrics which ensures the implementation of right choice of design towards the retention of quality of the product.

Poornima. U. S., Suma. V

Language is a medium for communication of our thoughts. Natural language is too wide to conceive and formulate the thoughts and ideas in a precise way. As science and technology grows, the necessity of languages arouses through which the thoughts are expressed in a better manner. Set Theory is such a mathematical language for expressing the thought of interest in a realistic way. It is well suited for presenting object oriented solution model, since this implementation methodology analyzes and modulates the requirements in a realistic way. Since the design flaws are one of the factors for software failure, industries are focusing on minimizing the design defects through better solution modeling techniques and quality assessment practices. The Object Oriented (OO) solution space can be visualized using the language of Set theory with which the design architecture of modules can be well defined. It provides a strong base to quantify the relationships within and between the modules, which is a mode for measuring the complexity of solution design of any software projects. This paper provides a visualization of OO modeling from the perspective of Set theory. Thereby, it paves the path for the designers to effectively design the application which is one of the challenges of a project development. Further, this mode of visualization enables one to effectively measure and controls the design complexity leading towards reducing the design flaws and enhanced software quality.

Poornima. U. S., Suma. V, Vasanth Kumar. H

Object Oriented Design methodology is an emerging software development approach for complex systems with huge set of requirements. Unlike procedural approach, it captures the requirements as a set of data rather than services, encapsulated as a single entity. The success such a project relies on major factors like design patterns framework, key principles, metric standards and best practices adapted by the industry. The patterns are key structures for recursive problem bits in the problem domain. The combination of design patterns forms a framework which suits the problem statement in hand. The pattern includes static design and dynamic behavior of different types of entities which can be mapped as a functional diagram with cardinalities between them. The degree of cardinality represents the coupling factor which the industry perceives and measures for software design quality. The organization specific design principles and rich repository of on-the-shelf patterns are the major design-quality-influencing-factor contribute to software success. These are the asset of an industry to deliver a quality product to sustain itself in the competitive market.

Raghavi K Bhujang, Suma. V

Success of any IT industry depends on the success rate of their projects, which in turn depends on several factors such as cost, time, and availability of resources. These factors formulate the risk areas, which needs to be addressed in a proactive way. The rudimentary objective of risk management is to circumvent the possibility of their occurrence by identifying the risks, preparing the contingency plans and mitigation plans in order to reduce the consequences of the risks. Hence, effective risk management becomes one of the imperative challenges in any organization, which if deemed in an apt way assures the continued sustainability of the organization in the high-end competitive environment. This paper provides visualization of risk assessment through a graphical model. Further, the matrix representation of the risk assessment aids the project personnel to identify all the risks, comprehend their frequency and probability of their occurrence. In addition, the graphical model enables one to analyze the impact of identified risks and henceforth to assign their priorities. This mode of representation of risk assessment factors helps the organization in accurate prediction of success rate of the project.