By Matthias Jarke, John Mylopoulos, Christoph Quix, Colette Rolland, Yannis Manolopoulos, Haralambos Mouratidis, Jennifer Horkoff
This booklet constitutes the court cases of twenty sixth foreign convention on complicated info platforms Engineering, CAiSE 2014, held in Thessaloniki, Greece in June 2014. The forty-one papers and three keynotes awarded have been conscientiously reviewed and chosen from 226 submissions. The authorised papers have been awarded in thirteen classes: clouds and prone; standards; product traces; standards elicitation; techniques; chance and defense; strategy types; facts mining and streaming; procedure mining; types; mining occasion logs; databases; software program engineering.
Read or Download Advanced Information Systems Engineering: 26th International Conference, CAiSE 2014, Thessaloniki, Greece, June 16-20, 2014. Proceedings PDF
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Extra info for Advanced Information Systems Engineering: 26th International Conference, CAiSE 2014, Thessaloniki, Greece, June 16-20, 2014. Proceedings
Under this appraisal scheme employees are evaluated by their superiors, their subordinates (if any), as well as their colleagues working at the same level of the administrative hierarchy. The assessment forms we prepared for the evaluators had ﬁelds where one had to describe the work and additional responsibilities of the evaluated staﬀ member, comment on his or her work performance, and identify areas where there was room for improvement. For the supervisors we designed a more detailed form where they could summarize the information from all evaluators, and rate the staﬀ member’s work performance factors (administrative skills, written communication, verbal communication, problem analysis, decision making, delegation of work, work quantity, work quality, staﬀ development, compliance with policies and procedures, and technical ability), as well as personal performance factors (initiative, perseverance, ability to work with others, adaptability, persuasiveness, conﬁdence, judgment, leadership, creativity, and reliability).
To capture expert knowledge, scientists tend to abstract and model parts of the overall problem. Disasters, however, pose complex problems that largely defy such simplifications. Complexity and uncertainty are certainly not new aspects of decision-making (Rittel & Webber 1973). Yet as organizations and individuals increasingly rely on models for data processing and on Information Systems to share information, decision-makers operate in circumstances that are more difficult than ever before, while they struggle to maintain oversight and control.
Following this rationale, international engineering standards such as ISO 14971 define the risk associated to an event as the product of the event’s probability and harm (Rakitin 2006). , the identification of potential risk sources or events, the assessment of those events’ likelihood and consequences (Renn 2005). This leads to a focus on ‘frequent’ or chronic failures that are part of the annual or quarterly reporting. Emerging risks or outliers are typically not considered, and therefore not monitored, controlled and managed.
Advanced Information Systems Engineering: 26th International Conference, CAiSE 2014, Thessaloniki, Greece, June 16-20, 2014. Proceedings by Matthias Jarke, John Mylopoulos, Christoph Quix, Colette Rolland, Yannis Manolopoulos, Haralambos Mouratidis, Jennifer Horkoff