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Stakeholder management is the process of identifying, analyzing, and engaging people who have either positive or negative influence in a project. The people involved in any project are called stakeholders and all projects have stakeholders irrespective of the size. Managing these stakeholders is a major function of project managers especially the most important ones because their action will determine whether the project is successful or not. Literatures have outlined different strategies of managing stakeholders which lies around stakeholder identification. This paper formulated mathematical model to determine the most important variable in managing stakeholders. In conclusion, the carrying capacity of a project should be considered alongside other stakeholder management strategies like active listening to bring the project to a successful completion.

Malware remains a significant threat to computer network.  In this paper, we consideredthe problem which computer malware cause to personal computers with its control by proposing a compartmental model SVEIRS (Susceptible Vaccinated-Exposed-infected-Recovered-Susceptible) for malware transmission in computer network using nonlinear ordinary differential equation. Through the analysis of the model, the basic reproduction number  were obtained, and the malware free equilibrium was proved to be locally asymptotical stable if  is less than unity and globally asymptotically stable if Ro is less than some threshold using a Lyapunov function. Also, the unique endemic equilibrium exists under certain conditions and the model underwent backward bifurcation phenomenon. To illustrate our theoretical analysis, some numerical simulation of the system was performed with RungeKutta fourth order (KR4) method in Mathlab. This was used in analyzing the behavior of different compartments of the model and the results showed that vaccination and treatment is very essential for malware control.

Software engineering projects in Nigeria have been classified generally as a failure, challenged or successful with no proof that the projects fall into these categories. The main focus has been on cost and time overrun, and attention has not been given to check whether projects truly fall within the given categories. Discriminant analysis was employed to determine how the 30 selected projects in the public sector in Nigeria can be correctly classified. This study developed a method for determining the actual category of software engineering projects concerning the characteristics of projects as a failure, challenged, or successful. The developed model was used to reclassify the thirty (30) projects, and it was discovered that twenty- one (21) projects were correctly classified giving 70% of correctly classified projects while nine (9) were wrongly classified giving 30%. It is possible for projects to satisfy the established success criteria (requirements met on time and within budget) whereas the stigma of failure still exists in its result.  

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