![]() ![]() As one review cycle often takes days or weeks to complete, the author of the requirements has to wait a long time before receiving feedback. CGMINER TUTORIAL 2017 MANUALThe manual inspection of the requirements by multiple reviewers and the integration of review results are time consuming. Although effective, this method comes with considerable effort. Manual reviews are an effective tool to create high quality requirements documents. In the end, bad requirements lead to misinterpretations and finally to the wrong product. Incomplete or ambiguous requirements generate additional effort due to unnecessary feedback loops. Badly written requirements have an expensive impact on the whole project. However, natural language poses the risk of being imprecise or ambiguous. Requirements in natural language can be created and understood by all stakeholders without additional effort and specific requirements engineering background. To document requirements, natural language is still the primary means. Henning Femmer, Qualicen GmbH, Germany Description Automatic Requirements Reviews – Potentials, Limitations and Practical Tool Support (half-day) As a project manager, he frequently moderates workshops with customers. CGMINER TUTORIAL 2017 SOFTWAREHe represents Fraunhofer IESE in the International Software Engineering Research Network (ISERN). Jedlitschka is member several Program Committees (e.g., ESEM, PROFES) and served as a Program Co-Chair of ESEM 2016 and as the General Chair of PROFES 2013. The guidelines provide one starting point for the adoption of the evidence-based SE paradigm. ![]() His most cited work is on “guidelines for reporting controlled experiments in software engineering”. He has published several papers in Journals and Conferences. His research interest is empirically-based and data-driven decision support, which is the core of his lecture at the University of Kaiserslautern on “Empirical Model Building and Methods”. Currently he is heading the department “Data Engineering”, dealing with a systematic approach to data science (What, Why, When, Where, Who, How). After working seven years as an IT consultant with an engineering company, he joined Fraunhofer IESE in 2000 where he worked as project manager and scientist. (1994) and PhD (2009) degrees in Computer Science from the University of Kaiserslautern. Introduction into digitization and big dataĪndreas Jedlitschka received his M.S.For the exercise, we will use an example, to which all participants can contribute. CGMINER TUTORIAL 2017 HOW TOParticipants will learn how to sketch a big data business model, to estimate its benefits, and to derive required capabilities. However, due to their nature, the practical focus of the tutorial will be on the benefit phase. The tutorial consists of three parts, i.e., scoping, benefit, and readiness. They will experience different moderation methods that support the development of the strategy. Participants will be actively involved in the exercises. From there, we will go through a hands-on example explaining the theoretical concepts behind a goal-oriented big data strategy. The goal of this tutorial is to raise participants’ awareness on the necessity to strategically plan big data projects and to align it with business goals.Īs a starting point, participants will get an overview of the trends on digitization and big data. “Data-driven business models” and “Big Data” are the big buzz words. Independent of any domain, all roadmaps and future scenarios clearly show: A service layer will be established between the products and the customers, which will be oriented more towards the business processes of the market participants and which will create benefit especially through the combination of systems and data – for manufacturers, suppliers, service providers, and end customers. Analyzing the Potential of Big Data (full-day)Īndreas Jedlitschka, Fraunhofer IESE, Germany Description Need for Speed – Towards Real-time Business Each participant can choose two half-day tutorials or one full-day tutorial to participate on that day. The tutorials will be held on November 29th, 2017. ![]() PROFES 2017 tutorials complement and enhance the main conference program, offering insights into special topics of current and ongoing relevance. ![]()
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