Many estimating and planning tools are available but they all require that we first make a development estimate. These tools can be helpful in checking estimates and in managing planning mechanics. Putnam Model This model is made by Lawrence H.putnam, which is based on Norden’s frequency distribution (Rayleigh curve). Putnam model maps time and efforts required with software size. Cocomo model Cocomo stands for Constructive cost model, developed by Barry W. Boehm.
Learning refers to any relatively permanent change or modification in behavior resulting from practice and or exposure conditioning. It could be motor, visual, or conceptual. Learning theories provide a theoretical outline that describes how information is absorbed, processed and retained during learning (Schunk, 2015). In this paper, I will discuss the learning theories of behaviorism, cognitivism, constructivism, and humanism and some principles within these theories that apply to learning like classical and operant conditioning, scaffolding, schemas, situated cognition, Bloom’s taxonomy, as well metacognitive activities. With research findings, we can learn what it takes to use different parts of our brain for different learning theories.
Also it automate the process of assigning task to fitting technicians depends upon availability, skill and severity • Auto Ticket Restoration: Once triaging acknowledges process completed and issue is assigned to concerning team. In incident analysis tool try to create scenario recreation of the incident. .If Issue matches with the current incident or problem with known error database KEDB. Apply RCA (Root Cause Analysis) and permanent fix for the
Earned Value analysis is a method of performance measurement. Earned Value is a program management technique that uses “work in progress” to indicate what will happen to work in the future. Earned Value is an enhancement over traditional accounting progress measures. Traditional methods focus on planned accomplishment (expenditure) and actual costs. Earned Value goes one step further and examines actual accomplishment.
Then the machines should be classified, and a proper one will be chosen to be modified. Indeed, a deep search need to be done on what is the latest modification has done on the machine, and what is the results. The problems and disadvantages of other researcher should be considered. A completed plan should be set with the supervisor at this stage. At earlier stage of the research, mechanical and electron sketch should be done with computer simulation.
In predictive modeling task, there are two types, Classification that is used for discrete target variable and Regression which is used for continues target variable. The goal of both tasks is to build a model that produce minimum error between predict and real value. An example of classification is the classification of an email as legitimate or spam, or in an online book store predict if a web-user will do a purchase or not. On the other hand, forecasting on the future of a price is a Regression task, because the price is a continues-value attribute. Association Rule Learning (Dependency modeling) is a method that describes associated features in data, searching for relationships between variables.
Following data analysis, the researcher could restate their research question, thereafter present findings and conclusions. A sound methodology requires not only a summary of the findings, but acknowledgement of any weaknesses in the study. According to Yin (2003b) to achieve construct validity, the case study researcher will make use of multiple sources, internal validity; use logic models and do explanation building and for external validity, the use of theory. He adds that reliability will depend on the ability to develop a database. The reliability can be tested by finding out such things about the said
More sophisticated systems can be set up to do automated analysis of information to immediately identify potential issues. An example is to review transfer cycle times to see if they fall within a certain time limit, and if they are outside that range then a supply chain analyst would be notified to find a resolution. Setting up business rules and notifications within the tracking systems helps to automate the return process and reduce required
Besides, it determines the methods of data collection and analysis. The findings of quantitative research are presented in statistical language. Quantitative approach to research involves data collection methods such as structured questionnaire, interviews, and observations together with other tools such as experiment, content analysis and survey. On the other hand, in depth interviews and unstructured observations are associated with qualitative research. Researches have to choose methods which are appropriate for answering their questions.
The Artificial intelligence scientists manage to develop a new computer software language that able to facilitate modelling the non-numerical cognitive processes of pattern matching, search and deduction used in task such as synthesis, diagnosis, planning, and interpretation. Engineer began to use artificial intelligence technique especially Knowledge Based System, in order to support diagnosis, selection and monitoring task on a routine basis. As the computer-aided design system beginning to spread, new opportunities arise for data sharing and decision