162 research outputs found
Exploring the relationship between GSD, knowledge management, trust and collaboration
No full textSoftware development requires intensive use of knowledge management (KM).
Which brings the ease for Global Software Development (GSD). The GSD
approach has viable advantages such as outsourcing, cost lowering, and 24/7
availability to the customers. However, the challenges are also there, due to the
different levels of dispersion (language, cultural, geographic, etc.) which brings the
difficulties in team coordination, trust between developer and communication. The
literature on GSD considers knowledge sharing, trust, collaboration and shared
understanding of requirements as key determinants of GSD success. A quantitative
research model is adopted with a quantitative questionnaire, containing multiple
weighted questions related to the relationship among the key determinants of GSD.
A leading multinational firm having more than 200 branches in 30 countries was
selected as a research site for the survey, the sample size of 195 was taken for this
research. This research proposes a conceptual research model, which presents the
relationship between four constructs, which have been considered as key
determinants of GSD success. According to our findings, knowledge sharing in
GSD environment improve trust among GSD team members. Knowledge sharing
also increase collaboration among team members. This increased collaboration and
trust positively affect the shared understanding of requirements that is key to the
success of requirement engineering phase and overall software project. The
achieved results will help the researcher to explore a better relationship between
GSD, KM, trust, and collaboration
Towards Improving the Quality of Requirement and Testing Process in Agile Software Development: An Empirical Study
No full textEdge-Driven Disability Detection and Outcome Measurement in IoMT Healthcare for Assistive Technology
No full textThe integration of edge computing (EC) and Internet of Medical Things (IoMT) technologies facilitates the development of adaptive healthcare systems that significantly improve the accessibility and monitoring of individuals with disabilities. By enabling real-time disease identification and reducing response times, this architecture supports personalized healthcare solutions for those with chronic conditions or mobility impairments. The inclusion of untrusted devices leads to communication delays and enhances the security risks for medical applications. Therefore, this research presents a Trust-Driven Disability-Detection Model Using Secured Random Forest Classification (TTDD-SRF) to address the issues while monitoring real-time health records. It also increases the detection of abnormal movement patterns to highlight the indication of disability using edge-driven communication. The TTDD-SRF model improves the classification accuracy of abnormal motion detection while ensuring data reliability through trust scores computed at the edge level. Such a paradigm decreases the ratio of false positives and enhances decision-making accuracy in coping with health-related applications, mainly the detection of patients’ disabilities. The experimental analysis of the proposed TTDD-SRF model indicates improved performance in terms of network throughput by 48%, system resilience by 42%, device integrity by 49%, and energy consumption by 45% while highlighting the potential of medical systems using edge technologies, advancing assistive technology for healthcare accessibility
A Blockchain-Enabled Framework for Improving the Software Audit Process
No full textAudits are an essential component of every organization, particularly those involving software development. In addition to several testing cycles, software auditing has become an essential software development milestone. Software auditing is a continual activity that enables a business to remain ahead of the curve and predict potential software problems. Audits, whether undertaken in-house or by external auditors, entail a significant amount of time and work. Consistent audits provide financial and economic benefits, as well as legal benefits. The most essential advantage of audits is safeguarding your system from internal and external assaults. Audit logs serve a crucial role in the auditing process; they typically capture all system operations and occurrences. They are used as evidence providers during an inquiry and by auditors to monitor the privacy and security of information and systems. Auditors confirm the accuracy of data pertaining to businesses and their activities. To determine if these acts exceed the limitations established by organizations, governments, and other parties, dependable information is essential. Infractions of such rules or corporate standards may be indicative of fraud, malpractice, risk, or inefficiency. Despite the existence of automated audit tools, audit policy, and audit logs, many audit frauds are reported on a daily basis. To make the audit process transparent and secure, this research proposes a blockchain-enabled framework SSFTA to aid software auditors in conducting a transparent and effective audit process. The proposed framework is evaluated using a case study. The findings demonstrated that the suggested framework makes the auditing process simple and transparent
A Comparative Investigation of Transfer Learning Frameworks Using OCT Pictures for Retinal Disorder Identification
No full text
Investigating the role of organizational structure in developing shared understanding of requirements within GSD
No full textA Federated Learning Mechanism for Mitigating Selective Forwarding Attacks in RPL-based Internet of Things
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