Information and Software Technologies

Well-defined requirements articulating user expectations and needs are a key to successful implementation of software development project. However, business process experts often lack experience in requirement definition, are ill-equipped to interact directly with system developers and sometimes are even unable to agree upon common understanding of the expect end-product. To mitigate this issue, projects frequently involve a so called “bridge person” – a team member with an objective to facilitate smooth communication among technical and non-technical individuals. The objective of this paper is to evaluate “bridge person” importance and summarize aspects that impact selection of a right “bridge person” type in particular software development project. The paper summarizes information about the role of “bridge person” and presents the survey of industry’s perception of this role.

[1]  Pierre Marquis,et al.  Reasoning under inconsistency: A forgetting-based approach , 2010, Artif. Intell..

[2]  Kenneth A. Ross,et al.  The well-founded semantics for general logic programs , 1991, JACM.

[3]  Sebastian Herkel,et al.  Grid-interactivity of a Solar Combined Heat and Power District Heating System , 2015 .

[4]  Agostino Poggi,et al.  Developing Multi-agent Systems with JADE , 2007, ATAL.

[5]  Michele Zorzi,et al.  The internet of energy: a web-enabled smart grid system , 2012, IEEE Network.

[6]  Sang Joon Kim,et al.  A Mathematical Theory of Communication , 2006 .

[7]  Jürgen Gausemeier,et al.  Design Methodology for Intelligent Technical Systems, Develop Intelligent Technical Systems of the Future , 2014, Design Methodology for Intelligent Technical Systems.

[8]  Divyakant Agrawal,et al.  Big data and cloud computing: current state and future opportunities , 2011, EDBT/ICDT '11.

[9]  Guilin Qi,et al.  Computing inconsistency measure based on paraconsistent semantics , 2011, J. Log. Comput..

[10]  Lars K. Knutzen,et al.  Conversion of Conventional District Heating Systems in the Ruhr-Metropolitan Area, Western Germany, by Stepwise Integration of Geothermal Sources , 2015 .

[11]  Matthias Thimm,et al.  On the Compliance of Rationality Postulates for Inconsistency Measures: A More or Less Complete Picture , 2017, KI - Künstliche Intelligenz.

[12]  Vincent Lemort,et al.  Techno-economic survey of Organic Rankine Cycle (ORC) systems , 2013 .

[13]  N. Nakicenovic,et al.  Long-term strategies for mitigating global warming☆ , 1993 .

[14]  G. Ropohl.  Allgemeine Technologie : Eine Systemtheorie der Technik , 2009 .

[15]  E. Stefanakos,et al.  A REVIEW OF THERMODYNAMIC CYCLES AND WORKING FLUIDS FOR THE CONVERSION OF LOW-GRADE HEAT , 2010 .

[16]  Holger Giese,et al.  Structured Information Processing for Self-Optimizing Mechatronic Systems , 2004, ICINCO.

[17]  J. Luckel,et al.  Generalization of the cascade principle in view of a structured form of mechatronic systems , 2001, 2001 IEEE/ASME International Conference on Advanced Intelligent Mechatronics. Proceedings (Cat. No.01TH8556).

[18]  Robert A. Kowalski,et al.  Logic for problem solving , 1982, The computer science library : Artificial intelligence series.

[19]  Anthony Hunter,et al.  On the measure of conflicts: Shapley Inconsistency Values , 2010, Artif. Intell..

[20]  Jürgen Gausemeier,et al.  Conceptual Design of Modularized Advanced Mechatronic Systems , 2009 .

[21]  Steffen Stadtmüller,et al.  Inconsistency-Tolerant Reasoning with Networked Ontologies , 2009 .

[22]  Peter Friess,et al.  Internet of Things Strategic Research Roadmap , 2011 .

[23]  Teodor C. Przymusinski.  Perfect Model Semantics , 1988, ICLP/SLP.

[24]  Jürgen Gausemeier,et al.  Architecture and Design Methodology of Self-Optimizing Mechatronic Systems , 2010 .

[25]  Matthias Thimm,et al.  Some Complexity Results on Inconsistency Measurement , 2016, KR.

[26]  Edward A. Lee.  Cyber Physical Systems: Design Challenges , 2008, 2008 11th IEEE International Symposium on Object and Component-Oriented Real-Time Distributed Computing (ISORC).

[27]  Jadran Vrabec,et al.  THERMODYNAMIC SIMULATION AND EXPERIMENTAL VALDIATION OF A CASCADED TWO-STAGE ORGANIC RANKINE CYCLE , 2015 .

[28]  Kevin Knight,et al.  Measuring Inconsistency , 2002, J. Philos. Log..

[29]  Benjamin Klöpper,et al.  Selbstoptimierende Systeme des Maschinenbaus – Definitionen, Anwendungen, Konzepte. , 2008 .

[30]  K. Popper.  Objective Knowledge: An Evolutionary Approach , 1972 .

[31]  David Ripley,et al.  Paraconsistent Logic , 2015, J. Philos. Log..

[32]  R. Reiter.  On Closed World Data Bases , 1987, Logic and Data Bases.

[33]  Jérôme Lang,et al.  Quantifying information and contradiction in propositional logic through test actions , 2003, IJCAI.

[34]  Carsten Wolff,et al.  Flexible and controllable ORC turbine for smart energy systems , 2016, 2016 IEEE International Energy Conference (ENERGYCON).

[35]  Robert A. Kowalski,et al.  The Semantics of Predicate Logic as a Programming Language , 1976, JACM.

[36]  Eliezer L. Lozinskii,et al.  Information and evidence in logic systems , 1994, J. Exp. Theor. Artif. Intell..

[37]  Matthias Neef,et al.  Systematic Fluid Selection for Organic Rankine Cycles (ORC) and Performance Analysis for a Combined High and Low Temperature Cycle , 2015 .