Survey on software maintenance profile and knowledge requirement in public higher learning institutions

Software maintenance (SM) environment is highly complex, knowledge-driven and collaborative. Therefore, Knowledge management (KM) is critical to provide an environment for sharing and sustaining knowledge. Issues such as inadequate knowledge and lack on information sharing are still regarded as major challenges in SM. This paper presents the results of a survey on KM of SM process in selected higher learning institutions (HLIs) in Malaysia. Based on the survey, several deficiencies are identified as common to HLIs. Domain knowledge is important but these are seldom stored in KMS or other electronic means. Maintainers also spent considerable efforts collaborating with other parties to obtain information. Therefore, resolving these issues should be given high priority

Applying knowledge management system architecture in software maintenance environment

Knowledge management (KM) become important for organization to take advantage on the information produced and can be brought to bear on present decision. Software maintenance (SM) is a process that requires lots of knowledge. Maintainers must know what changes should do to the software, where to do those changes and how those changes can affect other modules of the system. Knowledge management system (KMS) can support the processes of knowledge creation, storage or retrieval, transfer and application. KMS in SM could help the organization to make tacit knowledge into explicit and therefore decrease the dependency on employees’ cognition. This paper is to apply KMS architecture in SM environment to overcome the problem faced by software maintainers during the software maintenance process

A technical perspective of knowledge management in collaborative software maintenance environment

Knowledge management (KM) is critical in Software Maintenance (SM) organizations to provide an environment for creating and sharing knowledge.SM environment is complex, knowledge-driven and highly collaborative.Issue such as inadequate knowledge is still regarded as a major challenge in SM.To find out more on the above limitation in term of technical perspective, we study the activities of a maintenance organization and conducted a survey and discussion.Based on the results, we conclude that domain and technical knowledge are important to maintainers, but are often not available. Also,usefulness of tools to acquire and share knowledge are limited, mainly due to lack of integration between tools

A notification system model for bioinformatics community of practice

Bioinformatics can be considered as a new field of study and it promises a vast exploration area (Carzaniga., Rosenblum., Wolf ., 2001). In order to expedite the maturity in this area, a proper and supportive portal where all researchers could gather and cooperate in conducting their research need to be established. One of the features in a portal that can assist Bioinformatics researchers in performing their work is the ability of the portal to notify. Notification system is a combination of software and hardware to provide a method of distributing message(s) to a set of recipients. The notification messages could assist the recipients in many ways, from time saving and cost saving till life saving. Notification system can be developed with numerous functions depending on the needs and one of the most beneficial functions in research area is notification on the next most relevant knowledge to be read. This type of notification could lessen the researchers’ time in finding the correct thus enhancing their research efficiency. Another type of notification that could assist researchers is the events reminder. Busy and hectic researchers could forget their pack schedule and put total focus on their research while the reminder prompts them when it is time through Windows’ pop up, email and SMS as the means of delivering the messages. Whilst the knowledge management system (KMS) provides a sturdy basic for the Bioinformatics portal as a whole, the agent technology support the operation of the notification system. Agent technology offers great capabilities in ensuring the recipients is notified accordingly through its autonomous, learning and cooperative characteristics. The objective of this project is to build a notification system for Bioinformatics community of practice (CoP). Researchers in this community could utilize this system to make their research process more efficient

A framework of collaborative knowledge management system in open source software development environment.

The global economy crisis reveals the advantages of Open Source Software (OSS). Software developers benefit not only from reduced cost of acquisition, but also access to source code and components. In this aspect, knowledge sharing among developers are immensely important in all facets of System Development Life Cycle (SDLC). Feller and Fitzgerald (2000) raised the critical questions on what life-cycle underpins the OSS model and what is the best methodology to support the OSS as well as what toolkit support OSS methodology. This paper shall discuss the formulation of Knowledge Management System (KMS) framework for sharing knowledge in OSS using SDLC from the planning phase until the maintenance phase. An initial fact finding survey was conducted on selected OSS developers in Malaysia to analyze the current usage and acceptance of OSS. The results are quite unexpected, with many OSS developers are still not fully using OSS tools in SDLC stages. The proposed KMS model is envisaged to allow OSS Community-of-Practice to share the OSS knowledge for the whole SDLC

The development of knowledge management system for public higher learning in collaborative environment using Lotus Notes software

In higher learning institution sectors,collaboration tools of Knowledge Management Systems (KMS) explore the opportunity to create, gather, access, organize, distribute and disseminate the knowledge to their community of practice for many purposes such as learning process, R & D and others.This paper describes the theoretical concept and approach of knowledge management system (KMS) that could be implemented in Public Higher Learning Institution (PHLI) by showing how the framework of knowledge management system model is developed using Lotus Notes software.The achievement of this KMS framework is an added value for any PHLI that needs to implement the KMS, which can help them to achieve their aims and objectives.The emphasis also will be given to the activities that may be of concern for each stage in the KM life cycle by including the critical success factors (CSF) to ensure that KMS initiatives will deliver competitive advantages to the organization

Distributed knowledge management portal for Learning Organizations with collaborative environment

A knowledge management system (KMS) is a concept that can be used for creating knowledge repositories, improving knowledge access, sharing and communicating through collaboration, enhancing the knowledge environment and managing knowledge as an asset for an organization as well as inter-organization especially in Learning Organization (LO). In this paper, we will discuss and propose a distributed KMS portal for LOs with collaborative environment, a model and its components of KMS portal in LOs that will help the organizations to increase its productivity and quality as well as to gain return on investment (ROI). The component of KMS portal consists of its functionality, architecture, taxonomy, psychological, sociocultural and audit

Semantics representation in a sentence with concept relational model (CRM)

The current way of representing semantics or meaning in a sentence is by using the conceptual graphs. Conceptual graphs define concepts and conceptual relations loosely. This causes ambiguity because a word can be classified as a concept or relation. Ambiguity disrupts the process of recognizing graphs similarity, rendering difficulty to multiple graphs interaction. Relational flow is also altered in conceptual graphs when additional linguistic information is input. Inconsistency of relational flow is caused by the bipartite structure of conceptual graphs that only allows the representation of connection between concept and relations but never between relations per se. To overcome the problem of ambiguity, the concept relational model (CRM) described in this article strictly organizes word classes into three main categories; concept, relation and attribute. To do so, CRM begins by tagging the words in text and proceeds by classifying them according to a predefi ned mapping. In addition, CRM maintains the consistency of the relational flow by allowing connection between multiple relations as well. CRM then uses a set of canonical graphs to be worked on these newly classified components for the representation of semantics. The overall result is better accuracy in text engineering related task like relation extraction

Energy-saving framework for data center from reduce, reuse and recycle perspectives

Recently, there is a heightened level of awareness towards energy efficiency in high-performance data centers both to reduce environmental pollution and save cost. Such data centers consume massive amount of energy for processing huge computational requirements from users. These supercomputers demand a constant supply of electricity to be available 24/7 for both its core computing functions as well as cooling the data center. Previously, researchers had introduced various strategies for achieving energy efficiency. However, in order to achieve a truly effective energy management, factors that influence energy usages must also be taken into consideration. The failure to manage such factors leads to excessive energy consumption. In this work, we shall focus on factors relevant to running the operation of high-performance data centers. We reconstructed and analyzed such factors or attributes based on the universally accepted Reduce, Reuse and Recycle Concept (3R). We recategorized energy attributes of the existing Energy Efficient Data Center Frameworks (EEDCFs) to be aligned with 3R. Then, we developed energy-saving algorithms in response to the concept. Our framework was then measured according to the performance metrics namely power usage effectiveness (PUE), energy reuse effectiveness (ERE) and carbon usage effectiveness (CUE) against variability size of data center. The simulation results of our EEDCF showed that better energy saving is achieved in comparison to the existing EEDCFs. This signifies that the application of the 3R concept in energy consumption yielded a promising result as a platform for other researchers to explore more on energy renewal initiatives and embrace it for future application