Delivering a Brighter Future for IT Projects

This document is the Accepted Manuscript of the following article: Darren Dalcher, 'Delivering a Brighter Future for IT Projects', Cutter Business Technology Journal, Vol. 29 (12), pp. 25-27, January 2017. The version of record is available online at https://www.cutter.com/article/delivering-brighter-future-it-projects-494201.Peer reviewe

Search-Based Predictive Modelling for Software Engineering: How Far Have We Gone?

In this keynote I introduce the use of Predictive Analytics for Software Engineering (SE) and then focus on the use of search-based heuristics to tackle long-standing SE prediction problems including (but not limited to) software development effort estimation and software defect prediction. I review recent research in Search-Based Predictive Modelling for SE in order to assess the maturity of the field and point out promising research directions. I conclude my keynote by discussing best practices for a rigorous and realistic empirical evaluation of search-based predictive models, a condicio sine qua non to facilitate the adoption of prediction models in software industry practices.Predictive analytics Predictive modelling Search-based software engineering Machine learning Software analytic

Improvement of planning and time control in the project management of a metalworking industry - case study

Due to the competitiveness in the job shop nature of the metalworking industry, project management plays an important role in improving performance, efficiently and effectively managing its performance. Many of the generic problems observed in project management in metalworking industries were in the domain of document management, communication, multiple projects simultaneously, organizational structure, and poorly time estimation of project activities. The aim of this study was to improve the planning and time control in the project management of a metalworking industry in order to reduce the delivery delays. Using the existing data, an analysis of the project management process was carried out with the view to optimize the production system. In order to meet the established objectives, some of the project management tools were used, such as the Ishikawa diagram, PERT (three points estimating times), Monte Carlo simulation, as well as the involvement of people in the estimation and sequencing of activities, and holding weekly meetings to ensure the alignment of professionals. After the implementation of the actions proposed for the production process, there were gains of 50% and 38% in the average of deviations of times for two different projects of the case study and the Monte Carlo gave the best approximation.info:eu-repo/semantics/publishedVersio

Organizational and Methodological Influence of Risk Management in Projects

Project risk management is essential to managers’ decision making and business success, because it allows the manager to identify, analyse  and  decide  on the most appropriate way to respond to different adversities that may arise during the development of new products, services, processes, projects, continuous improvement, etc. This requires a mind-set that risks have a major influence on the bottom line and use analytical methods or risk management software. It is essential to integrate the entire organizational structure into risk mitigation intervention. The purpose of this paper is to address some of the important topics to consider for well implemented and successful risk management. An approach is taken at both organizational and methodological levels. Keywords: Risk management, PMBOK, Stakeholders, Methods, New product developmen

Organizational and Methodological Influence of Risk Management in Projects

Project risk management is essential to managers' decision making and business success, because it allows the manager to identify, analyse and decide on the most appropriate way to respond to different adversities that may arise during the development of new products, services, processes, projects, continuous improvement, etc. This requires a mind-set that risks have a major influence on the bottom line and use analytical methods or risk management software. It is essential to integrate the entire organizational structure into risk mitigation intervention. The purpose of this paper is to address some of the important topics to consider for well implemented and successful risk management. An approach is taken at both organizational and methodological levels.authorsversionpublishe

Organizational and methodological influence of risk management in projects

Project risk management is essential to manager`s decision making and business success, because it allows the manager to identify, analyse and decide on the most appropriate way to respond to different adversities that may arise during the development of new products, services, processes, projects, continuous improvement, etc. This requires a mind-set that risks have a major influence on the bottom line and use analytical methods or risk management software. It is essential to integrate the entire organizational structure into risk mitigation intervention. The purpose of this paper is to address some of the important topics to consider for well implemented and successful risk management. An approach is taken at both organizational and methodological levels.info:eu-repo/semantics/publishedVersio

Agile requirements work in a digital transformation project: Managing diverse and dispersed user needs

Successful requirements engineering is vital to the success of software projects. Agile software development seeks to limit the risk of misunderstanding requirements by emphasizing evolutionary delivery and more end-user involvement. But what happens when features are not accepted because the customers cannot agree among themselves? In this paper we report on an ongoing study where a software development company is creating a software system from scratch for a complex, diverse, and dispersed customer organization. We describe our ongoing study in which we follow a feature of the software system from idea to implementation. We attempt to explain our observations through three theoretical lenses: User participation and involvement, power relations in complex organizations, and balancing of local and global needs in system development