Srikantha Rao

Agile principles as a leadership value system in the software development: are we ready to be unleashed?

Agile methods generally promote a disciplined project management process that encourages frequent inspection and adaptation, a leadership philosophy that encourages teamwork, self-organization and accountability, a set of engineering best practices that allow for rapid delivery of high-quality software, and a business approach that aligns development with customer needs and company goals. When it is considered Agile Principles as a leadership value System in the Software Development then the question arise that are one is ready to be unleashed? As criticisms include several issues regarding the same like Agile Principles often used as a means to bleed money from customers through lack of defining a deliverable, Lack of structure and necessary documentation, Only works with senior-level developers Incorporates insufficient software design, Requires meetings at frequent intervals at enormous expense to customers, Requires too much cultural change to adopt, Can lead to more difficult contractual negotiations?, Can be very inefficient---if the requirements for one area of code change through various iterations, the same programming may need to be done several times over. Impossible to develop realistic estimates of work effort needed to provide a quote, because at the beginning of the project no one knows the entire scope/requirements and can increase the risk of scope due to the lack of detailed requirements documentation? Here it is observed and surveyed the various categories of Projects for different kind of group members to adopt and follow the agile principles. It proposes the strength and weaknesses of all 12 Agile Principles based on Indian scenario.

Data integration problem of structural and semantic heterogeneity: data warehousing framework models for the optimization of the ETL processes

Data Warehouse plays an important part in the process of knowledge engineering and decision-making for Enterprise, as a key component of the data warehouse architecture, the tool that support data extraction, transformation, loading (ETL) is a critical success factor for any data warehouse projects [2, 5, 7]. Traditional methods of ETL development are pieces of software responsible for the extraction of data from several sources, their cleansing, customization, and insertion into a data warehouse [1, 6]. To solve heterogeneity problems of different data sources in the processes, this paper reviewed framework models [7] for optimization of the ETL processes by using semantic web technologies and discusses how ontologies are used to support the data integration. A metadata management System with good design can highly improve the ETL efficiency [1, 2, 6, and 10]. There are different strategies that can be used and they each have different costs and benefits.

Ontology supported inference system for Hindi and Marathi

In multilingual environment, there are multiple languages exist in a single database system. In order to retrieve correct and exact information from the system, we need an efficient semantic matching approach among the languages. These approaches should lead to compute inferences, which may be effectively utilized in decision making system. There are many approaches proposed for semantic matching, but either they are complex or will not give correct result for Indian languages like Hindi or Marathi. In this paper, we proposed semantic matching approach using ontology for Hindi and Marathi languages for inference. Our approach is supported by our integrated ontology building approach. In order to carry out inference, semantic matching is carried out by using bi-lingual dictionary, synset, ontology for an entered string. We achieved exact, accurate results in terms of precision and recall values for both ontology building and computing inference.

Customised approach for efficient data storing and retrieving from university database using Repetitive Frequency Indexing

Indexing provides efficient way of storing and retrieving the data from the database by mapping with the respective records. Storing and Retrieving the data from the databases of various universities always requires efficient algorithms or procedures because of huge amount of student information stored. In order to retrieve and store data from the database in more efficient manner, customized indexing methods becomes mandatory. The normal indexing with equal number of alphabets in the primary index results to more time complexity and wastage of the space for unallocated records. This paper proposes a customized and enhanced approach to search the information from such databases with reduced time complexity and latency time. This is achieved using Indexing with Repetitive Frequency to form the buckets with equal number of records.