Prediction of resource requirements of a software project is crucial for the timely delivery of quality-assured software within a reasonable timeframe. Many conventional (model-based) and AI-oriented (model-free) resource estimators have been proposed in the recent past. This paper presents a novel genetically trained neural network (NN) predictor trained on historical data. We demonstrate subs...

––Software development cost estimation is important for effective project management. Many models have been introduced to predict software development cost. In this paper, a novel emotional COnstructive Cost MOdel II (COCOMO II) has been proposed for software cost estimation. In COCOMO II only the project characteristics are considered, whereas the characteristics of team members are also impor...

The cornerstone of severe accident strategy Nordic BWRs is to flood the reactor cavity for long-term coolability an ex-vessel debris bed. As a prerequisite coolability, hot bed formed from fuel coolant interactions (FCI) should be quenched. In present study, coupling MELCOR and COCOMO codes realized with aim analyze quench process under prototypical condition BWR. this coupled simulation, perfo...

Along with the number of projects received and must be completed on time by PT. EKIOSKU, where project scheduling has been carried out using estimation method, so that it an impact results estimating time, human resources, estimated costs software are quite large. In addition, for tasksperformed manager, its still in inefficient verbal way because each workforce different abilities. Based exist...

Traditional engineering disciplines such as mechanical and electrical engineering are guided by physical laws. They provide the constraints for acceptable engineering solutions by enforcing regularity and thereby limiting complexity. Violations of physical laws can be experienced instantly in the lab. Software engineering is not constrained by physical laws. Consequently, we often create softwa...

Understanding software size distribution is critical to cost estimation using COCOMO model and design of reliable production function model. This paper proposes validates a theoretical framework based on the maximization Shannon entropy learn component systems when partial information about moments given. Specification appropriate moment constraints either in form shifted geometric mean or arit...

To improve the current real-world deployments of Stackelberg security games (SSGs), it is critical now to efficiently incorporate models of adversary bounded rationality in large-scale SSGs. Unfortunately, previously proposed branch-and-price approaches fail to scale-up given the non-convexity of such models, as we show with a realization called COCOMO. Therefore, we next present a novel cuttin...