A Framework to Evaluate Software Developer’s Productivity The VALORTIA Project

Currently, there is a lack in companies developing software in relation to assessing their staff’s productivity before executing software projects, with the aim of improving effectiveness and efficiency. QuEF (Quality Evaluation Framework) is a framework that allows defining quality management tasks based on a model. The main purpose of this framework is twofold: improve an entity’s continuous quality, and given a context, decide between a set of entity’s instances on the most appropriate one. Thus, the aim of this paper is to make this framework available to evaluate productivity of professionals along software development and select the most appropriate experts to implement the suggested project. For this goal, Valortia platform, capable of carrying out this task by following the QuEF framework guidelines, is designed. Valortia is a platform to certify users' knowledge on a specific area and centralize all certification management in its model by means of providing protocols and methods for a suitable management, improving efficiency and effectiveness, reducing cost and ensuring continuous quality.Ministerio de Ciencia e Innovación TIN2013-46928-C3-3-

The development and technology transfer of software engineering technology at NASA. Johnson Space Center

The United State's big space projects of the next decades, such as Space Station and the Human Exploration Initiative, will need the development of many millions of lines of mission critical software. NASA-Johnson (JSC) is identifying and developing some of the Computer Aided Software Engineering (CASE) technology that NASA will need to build these future software systems. The goal is to improve the quality and the productivity of large software development projects. New trends are outlined in CASE technology and how the Software Technology Branch (STB) at JSC is endeavoring to provide some of these CASE solutions for NASA is described. Key software technology components include knowledge-based systems, software reusability, user interface technology, reengineering environments, management systems for the software development process, software cost models, repository technology, and open, integrated CASE environment frameworks. The paper presents the status and long-term expectations for CASE products. The STB's Reengineering Application Project (REAP), Advanced Software Development Workstation (ASDW) project, and software development cost model (COSTMODL) project are then discussed. Some of the general difficulties of technology transfer are introduced, and a process developed by STB for CASE technology insertion is described

From Open Source to Commercial Software Development - the Community Based Software Development Model

The successful practice of OSS leads to the intuition that integrating online software engineering community into the value chain of software company may be a solution to access qualified workforce and to reduce product cost. The emerging practice of crowdsourcing offers a potential solution for this attempt. Adopting an action research approach, the researchers collaborated with a software company in China and developed a crowdsourcing based software community development model, which consists of three elements: 1. online communities, providing abundant low cost software developers with diverse technical backgrounds; 2. crowdsourcing, providing incentive for developers’ participation and motivating competition; 3. process management and quality control mechanism, borrowed from in-house software development practice, guaranteeing the product quality and fulfillment of project schedule. This crowdsourcing based community development model, as a new business model and a new method of organizing software development, was tested with real-life projects and proved to be effective

A WWW Based Software Metrics Environment for Software Process Management and Software Product Quality Improvement

The software process needs to be continuously improved to develop high quality software. However, with increasing specialization in the workforce and decentralization in the workplace, software process planning, monitoring, analysis and dynamic tuning in a heterogeneous distributed environment becomes a challenge. We describe a tool which takes advantage of emerging Internet technology to implement a software metrics environment for software process management and software quality improvement. The tool uses a dimensional analytic model to visualize the software development process. The system offers facilities to monitor the status and quality attributes of projects being developed at multiple sites and on multiple platforms based on Internet, Java, JDBC and a database system

Human factors that influence the success of Agile Projects

Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Marketing IntelligenceProject management, when based on agile methodologies, has brought improvements in the success rate in software development projects in recent years, contributing to the improvement of service quality and boosting motivation and productivity in their teams. Thus, it is important to understand what people face when managing projects, using agile methodologies. This study suggests a revised model for assessing the impact of human variables that affect the success of agile methodology in a project management context based on the DeLone & McLean IS Success Model. Our model combines three human factors including collaboration quality as independent variable and agile mindset and agile coach as moderators between the relationship of user satisfaction and individual performance. The motivation of this research is to gain a better understanding of the factors that can influence the achievement of successful agile project management, taking into consideration the factors related with individual performance. The results of a SEM-PLS analysis of 201 professional respondents indicate that "user satisfaction" and "individual performance" are the two most important elements in the success of agile software development projects. Managers and teams will be able to set priorities and improve project outcomes by recognizing which aspects are crucial for success. We discuss this topic, the limitations of the research, and possible paths for future studies

Lean requirements traceability automation enabled by model-driven engineering

Background: The benefits of requirements traceability, such as improvements in software product and process quality, early testing, and software maintenance, are widely described in the literature. Requirements traceability is a critical, widely accepted practice. However, very often it is not applied for fear of the additional costs associated with manual efforts or the use of additional tools. Methods: This article presents a “low-cost” mechanism for automating requirements traceability based on the model-driven paradigm and formalized by a metamodel for the creation and monitoring of traces and an integration process for traceability management. This approach can also be useful for information fusion in industry insofar that it facilitates data traceability. Results: This article extends an existing model-driven development methodology to incorporate traceability as part of its development tool. The tool has been used successfully by several companies in real software development projects, helping developers to manage ongoing changes in functional requirements. One of those projects is cited as an example in the paper. The authors’ current work leads them to conclude that a model-driven engineering approach, traditionally used only for the automatic generation of code in a software development process, can also be used to successfully automate and integrate traceability management without additional costs. The systematic evaluation of traceability management in industrial projects constitutes a promising area for future work.Junta de Andalucía AT17-5904-USEJunta de Andalucía US-1251532Ministerio de Ciencia, Innovación y Universidades PID2019-105455GB-C3

Using Software Quality Evaluation Standard Model for Managing Software Development Projects in Solar Sector

This paper proposes a framework for managing Project Quality Management (PQM) processes of software development projects related to photovoltaic (PV) system design. The International Organization for Standardization (ISO) quality evaluation model, Software Product Quality Requirements and Evaluation (SQuaRE) standard, is used to determine quality characteristics and quality metrics of the software. This work presents the following contributions: I) defining quality characteristics associated with a PV design software using the SQuaRE standard model, II) adding the proposed framework as a tool and technique which is used by practitioners following the global standard book for project managers, A Guide to the Project Management Body of Knowledge (PMBOK), and III) Identifying quality measures and sub-characteristics of a PV design software. The presented model can be employed for simulation-based and/or model-based software products in various technical fields and engineering

PORM: Predictive Optimization of Risk Management to control Uncertainty Problems in Software Engineering

Irrespective of different research-based approaches toward risk management, developing a precise model towards risk management is found to be a computationally challenging task owing to critical and vague definition of the origination of the problems. This research work introduces a model called as PROM i.e. Predictive Optimization of Risk Management with the perspective of software engineering. The significant contribution of PORM is to offer a reliable computation of risk analysis by considering generalized practical scenario of software development practices in Information Technology (IT) industry. The proposed PORM system is also designed and equipped with better risk factor assessment with an aid of machine learning approach without having more involvement of iteration. The study outcome shows that PORM system offers computationally cost effective analysis of risk factor as assessed with respect to different quality standards of object oriented system involved in every software projects