Valuable Business Knowledge Asset Discovery by Processing Unstructured Data.

Modern organizations are challenged to enact a digital transformation and improve their competitiveness while contributing to the ninth Sustainable Development Goal (SGD), “Build resilient infrastructure, promote sustainable industrialization and foster innovation”. The discovery of hidden process data’s knowledge assets may help to digitalize processes. Working on a valuable knowledge asset discovery process, we found a major challenge in that organizational data and knowledge are likely to be unstructured and undigitized, constraining the power of today’s process mining methodologies (PMM). Whereas it has been proved in digitally mature companies, the scope of PMM becomes wider with the complement proposed in this paper, embracing organizations in the process of improving their digital maturity based on available data. We propose the C4PM method, which integrates agile principles, systems thinking and natural language processing techniques to analyze the behavioral patterns of organizational semi-structured or unstructured data from a holistic perspective to discover valuable hidden information and uncover the related knowledge assets aligned with the organization strategic or business goals. Those assets are the key to pointing out potential processes susceptible to be handled using PMM, empowering a sustainable organizational digital transformation. A case study analysis from a dataset containing information on employees’ emails in a multinational company was conducted.post-print5352 K

Balancing software engineering education and industrial needs

In the world of information and communications technologies the demand for professionals with software engineering skills grows at an exponential rate. On this ground, we have conducted a study to help both academia and the software industry form a picture of the relationship between the competences of recent graduates of undergraduate and graduate software engineering programmes and the tasks that these professionals are to perform as part of their jobs in industry. Thanks to this study, academia will be able to observe which skills demanded by industry the software engineering curricula do or do not cater for, and industry will be able to ascertain which tasks a recent software engineering programme graduate is well qualified to perform. The study focuses on the software engineering knowledge guidelines provided in SE2004 and GSwE2009, and the job profiles identified by Career Space

Digital transformation in organizational health and safety to mitigate Burnout Syndrome

In 2000, the World Health Organization (WHO) identified Burnout Syndrome as an occupational risk factor, affecting an estimated 10% of workers, resulting in lost productivity and increased costs due to sick leave. Some claim that Burnout Syndrome has reached epidemic proportions in workplaces around the world. While signs of burnout are not difficult to identify and palliate, its real impact is not easy to measure, generating a number of risks for companies from possible loss of human talent to decreased productivity and diminished quality of life. Given the complexity of Burnout Syndrome, it must be addressed in a creative, innovative and systematic way; traditional approaches cannot be expected to deliver different results. This paper describes the experience where an innovation challenge was launched to collect creative ideas to identify, prevent or mitigate Burnout Syndrome through the use of technological tools and software. The challenge was endowed with an economic award and its guidelines stated that the proposals must be both creative and feasible from an economic and organizational point of view. A total of twelve creative projects were submitted, including each of them, the analysis, design and management plans, to envision an idea that is feasible and with the appropriate budget, implemented. In this paper, we present a summary of these creative projects and how the IRSST (Instituto Regional de Seguridad y Salud en el Trabajo) experts and leaders in OHS in the Madrid Region (Spain) envision their potential impact on improving the OHS landscape

Agile Delphi methodology: A case study on how technology impacts burnout syndrome in the post-pandemic era

IntroductionIn the post-pandemic era, many habits in different areas of our lives have changed. The exponential growth in the use of technology to perform work activities is one of them. At the same time, there has been a marked increase in burnout syndrome. Is this a coincidence? Could they be two interconnected developments? What if they were? Can we use technology to mitigate this syndrome? This article presents the agile Delphi methodology (MAD), an evolved version of the Delphi method, adapted to the needs of modern-day society.MethodsTo drive Occupational Health and Safety (OHS) experts to reach a consensus on what technological and non-technological factors could be causing the burnout syndrome experienced by workers in the post-pandemic era, MAD has been used in a specific case study. This study formally presents MAD and describes the stages enacted to run Delphi experiments agilely.ResultsMAD is more efficient than the traditional Delphi methodology, reducing the time taken to reach a consensus and increasing the quality of the resulting products.DiscussionOHS experts identified factors that affect and cause an increase in burnout syndrome as well as mechanisms to mitigate their effects. The next step is to evaluate whether, as the experts predict, burnout syndrome decreases with the mechanisms identified in this case study

Selecting a Software Elicitation Technique According to Layers of Knowledge and Preciseness: A Case Study

This paper presents a case study analyzing a set of software engineering elicitation techniques. The aim of the case study is to demonstrate that completeness and preciseness are two criteria to be incorporated into the set of existing parameters used to classify and select which elicitation technique to apply depending on the project context variables. Completeness refers to how well each elicitation technique elicits domain, task and strategic requirements, and preciseness refers to how many requirements a software engineer is able to elicit using each technique. Based on the results, we can state that completeness and preciseness perform differently for each analyzed technique. Therefore, these two criteria are necessary in order to improve elicitation technique selection. Also, the techniques used in this case study have been ranked according to the above-mentioned criteria, that is, which technique included in this study, is best suited for which requirements layer and which technique can be expected to elicit most requirements during the knowledge externalization phase

SEPG Europe 2012 Conference Proceedings

<p>The 17th SEPG Europe conference was organized by the Software Engineering Institute (SEI) in collaboration with IEEE Software magazine and took place from June 5-7, 2012 in Madrid, Spain. SEPG Europe's goal is to bring together software and systems professionals who have a common passion to improve the processes they use to create the products and services they develop. This year, collaboration between SEPG Europe 2012 and IEEE Software magazine gave technical session presenters the chance to have a paper selected by the SEPG Europe 2012 Technical Committee for inclusion in this SEI report, as well the opportunity to be considered for inclusion in a future issue of IEEE Software magazine. This report contains the seven papers selected for publication by the SEPG Europe 2012 Technical Committee.</p