Boehm's Model Research Articles

ESTABLISHING A TEACHING PRACTICE PROCESS THROUGH TRAIN THE TRAINER PROGRAM IN THE SINABUNG VOLCANO’s EXCLUSION ZONE: A QUALITATIVE CASE STUDY IN MARDINGDING VILLAGE AT THE DISTRICT OF KARO

AbstractThis paper discusses the outcomes resulted from efforts in optimizing the implementation of a teaching practice process in a current/post-disaster area. The purpose of this study is to implement the Train-the-Trainer program for local youth as educational agents to pupils in Mardingding Village and in other villages around those affected by the disaster so that the learning spirit of students is maintained. Based on the data analysis using the rapid mapping method with the Rapid Spiral Boehm model, it can be concluded that the implementation and existence of the Train the Trainer program has a positive influence on students' interest in learning activities that are not only focused on activities within the school but also outside the school. The relatively good achievement of learning outcomes after the implementation of the train the trainer program underscores interesting findings in which regions experiencing disasters can still meet learning outcomes with all the inherent limitations of the condition of the affected area. This applied research has limitations, namely focusing on qualitative data analysis so that the interpretation of the findings obtained also has relatively specific implications for the coverage of the Mardingding Village area in the Tiganderket District in Karo District.Keywords: Train the Trainer Program, Teaching Practice Process, Disaster Area, Mardingding Village, Rapid Spiral Boehm.

Software Quality Prediction Using Fuzzy Logic Technique

In the global market, the value of software quality is a major factor in software industries. In a majority of cases, software quality needs to be quantified and measured. Previously, many models like the ISO model, the McCall model, the Boehm model, etc., have been used for the quantification of the parameters which determine the software quality. The software quality can be judged by analyzing all the characteristics of the product. In this article, a new pragmatic model which is the modification of the existing ISO Model has been proposed in order for the quantification of the software quality factors in a more precise way. Because of the nature of the attributes which determine the software quality, a Fuzzy logic-based approach is considered to be a better technique among various existing machine learning techniques. Here, the simulink tool is used for constructing the running model which helps the net quality of the software.

Software Quality Appraisal Using Multi-Criteria Decision Approach

Software quality measurement is the key factor in the development of any software system. Various software quality models are devised to measure the performance of a software system, which consists of numerous quality parameters on the basis of which software are quantified. Different types of software quality models are already present like an ISO/IEC9126 Quality model, Boehm's model, McCall's model, etc. In this paper, an attempt has been made to increase the quality of a software system by introducing some new quality parameters in ISO/IEC9126 model. Since the quality parameters are very unpredictable in nature, so as to evaluate the performance of quality parameters, the fuzzy multi criteria approach has been used.

Strategic Management of the Romanian Health System based on Boehm Model: A Conceptual Framework

Strategic management of the Romanian healthcare system could be a solution for the numerous problems Romanian contributors (and, of course, non-contributors) face when they need medical care services. This paper will review present challenges and the current status of the system in Europe and Romania, as well as the stage of implementing the principles of corporate management. It will also discuss the specificities of health care and the arguments for a certain approach of the system's strategic planning. Based on these observations, a model of strategic planning will be suggested, considered the best under the circumstances: the Spiral Model, introduced by Boehm in 1986 as a model for software development. We will justify the selection of the model and highlight the main issues which must be considered when grounding the strategy for the Health Sector, having in mind that, because the problem is multidimensional, the solutions should also be multidimensional.

Machine learning approaches for predicting software maintainability: a fuzzy‐based transparent model

Software quality is one of the most important factors for assessing the global competitive position of any software company. Thus, the quantification of the quality parameters and integrating them into the quality models is very essential.Many attempts have been made to precisely quantify the software quality parameters using various models such as Boehm's Model, McCall's Model and ISO/IEC 9126 Quality Model. A major challenge, although, is that effective quality models should consider two types of knowledge: imprecise linguistic knowledge from the experts and precise numerical knowledge from historical data.Incorporating the experts’ knowledge poses a constraint on the quality model; the model has to be transparent.In this study, the authorspropose a process for developing fuzzy logic-based transparent quality prediction models.They applied the process to a case study where Mamdani fuzzy inference engine is used to predict software maintainability.Theycompared the Mamdani-based model with other machine learning approaches.The resultsshow that the Mamdani-based model is superior to all.

SMSCQA: System for Measuring Source Code Quality Assurance

software systems play a critical role in various aspects of human life, and become part of everyday life. Many of these systems are essential for the completion of day-to-day activities. The increased reliance on computer applications, and organization that produced software puts more and more strain on software developers and software systems itself. For these reasons many international standards, requirements, and constrains were established to assure quality of software. In this work the most important fundamentals of software quality assurance used during life cycle development process (LCDP) will be covered. Specially that used in coding phase. This phase is a very important period for all software, because the cure of software system will be established here. Therefore it was sliced in detailes, and all of its aspects were recovered like: Software metrics, Software quality factors, and software quality models like McCall's model, Boehm's model, ISO 9126 model, and SATC NASA model. By comparing and studying these models the System for Measuring Source Code Quality Assurance was retrieved. Using this system over 30 source code metrics, 9 quality factors can be measured and overall quality might be calculated.

Assessment of Software Quality: Choquet Integral Approach

Software measurement is a software engineering discipline which deals in quantifying the characteristics of a software product or software process. The measurement of the characteristics of software refers to the comparative study of the same and hence the quality of the software comes into picture. There are software quality models made for quantifying various quality parameters such as Boehm's Model, McCall's Model, and ISO/IEC 9126 Model etc but none of these give quantification of quality parameters. Hence this paper proposes a methodology for comparing different software solutions based on the SRS to a common problem. Software quality is highly unpredictable, it is the existence of desirable characteristics in a solution, while the desired attributes differ with different view point and are highly interdependent. Therefore Choquet Integral is used to efficiently compare the set of solutions to be implemented for software.

Integrated Software Quality Evaluation: A Fuzzy Multi-Criteria Approach

Software measurement is a key factor in managing, controlling, and improving the software development processes. Software quality is one of the most important factors for assessing the global competitive position of any software company. Thus the quantification of quality parameters and integrating them into quality models is very essential. Software quality criteria are not very easily measured and quantified. Many attempts have been made to exactly quantify the software quality parameters using various models such as ISO/IEC 9126 Quality Model, Boehm's Model, McCall's model, etc. In this paper an attempt has been made to provide a tool for precisely quantifying software quality factors with the help of quality factors stated in ISO/IEC 9126 model. Due to the unpredictable nature of the software quality attributes, the fuzzy multi criteria approach has been used to evolve the quality of the software.

SOFTWARE SOURCE CODE: A QUALITY ASSURANCE MEASUREMENT SYSTEM

Today software systems play a critical role in various aspects of human life, from rockets to health care, and become part of everyday life. Many of these systems are relied upon as being essential for the completion of day-to-day activities. The increased reliance on computer applications, and organizations that produce software puts more and more strain on software developers to produce high quality systems. For these reasons many international standards, requirements, and constrains were established to assure quality of software. This paper introduces a new software Source Code Quality Assurance Measurement System named SCQAM. In addition, it presents some of the most important software quality assurance fundamentals used during the different phases of software development life cycle. Particularly, the focus of this paper is bounded to the coding phase, where in this phase the cure of software system will be established. Therefore, the scope of this paper covers most of the related aspects of software quality assurance of the coding phase including: software metrics, software quality factors, and software quality models like McCall's model, Boehm's model, ISO 9126 model, and SATC NASA model. As a result of analyzing these models, the proposed system was designed, developed, and tested. The proposed SCQAM can measure over 30-source code metrics, then group these metrics to compute nine distinct quality factors and indicators, then an overall quality indicator of the input source code is calculated. The experimental results show the superiority of the SCQAM system over Project Analyzer, another quality assurance measurement system, specifically in the area of source code quality measurement.

The management of risk in system development: ‘Project SP’ and the ‘New Spiral Model’

The article discusses the development of complex products, with a particular emphasis on software, and focuses on the problem of how to manage the risks in the development process. A number of models of the development process are described including Boehm's Spiral Model, which has risk management as a central theme. An example is described where Boehm's Spiral Model has been tried. The strengths and weaknesses of the model are discussed in the light of this experience. In the final part of the article, a notation called ‘Project SP’ is presented as a means of recording the progressively growing knowledge base of a project and the areas of uncertainty and associated risk. Also described is the New Spiral Model, derived from Boehm's model and designed to be used in conjunction with Project SP. The New Spiral Model appears to preserve the advantages of the previous model and appears to remedy its weaknesses. Associated issues are described and discussed.