Hanne, Thomas
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- PublikationDetermination of weights for multiobjective combinatorial optimization in incident management with an evolutionary algorithm(IEEE, 2023) Gachnang, Phillip; Ehrenthal, Joachim; Telesko, Rainer; Hanne, Thomas [in: IEEE Access]Incident management in railway operations includes dealing with complex and multiobjective planning problems with numerous constraints, usually with incomplete information and under time pressure. An incident should be resolved quickly with minor deviations from the original plans and at acceptable costs. The problem formulation usually includes multiple objectives relevant to a railway company and the employees involved in controlling operations. Still, there is little established knowledge and agreement regarding the relative importance of objectives such as expressed by weights. Due to the difficulties in assessing weights in a multiobjective context directly involving decision makers, we elaborate on the autoconfiguration of weighted fitness functions based on nine objectives used in a related Integer Linear Programming (ILP) problem. Our approach proposes an evolutionary algorithm and tests it on real-world railway incident management data. The proposed method outperforms the baseline, where weights are equally distributed. Thus, the algorithm shows the capability to learn weights in future applications based on the priorities of employees solving railway incidents which is not yet possible due to an insufficient availability of real-life data from incident management. https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10339298&tag=101A - Beitrag in wissenschaftlicher Zeitschrift
- PublikationRequirements engineering in software startups: a systematic mapping study(MDPI, 03.09.2020) Gupta, Varun; Fernandez-Crehuet, Jose Maria; Hanne, Thomas; Telesko, Rainer [in: Applied Sciences]Startups have high failure rates due to their inability to attain a sufficient product/market fit, i.e., delivering a solution that best matches the user needs in the market. Requirement engineering is the activity that could help startup teams identify the value proposition that provides high value to the users and continuously innovate it. The objective of the study is to analyse the state of art of the requirement engineering research in the context of startups, as available in the literature. The analysis of the research area highlights the research trends to achieve two things i.e., (a) predict how much support the startups can get from the literature for enhancing their success rates and (b) identify the research gaps to motivate researchers to conduct future research that could be adoptable in startup contexts. Systematic mapping is conducted on studies extracted from the four bibliographic databases (IEEExplore, ACM, Springerlink and ScienceDirect) and studies extracted by using a forward snowballing approach. Individual studies are coded to yield the classification scheme. Formulated schemes and those already available in literature, were populated with information extracted from the abstracts of the studies. The research is mostly focused on generic requirement engineering and product validation activities. The research is conducted mostly as evaluations (empirical studies) with the outcome of providing theory to the research community. Major underlying motivation of the research is to attain the product/market fit. However, research studies focusing on requirement documentation, prioritization and elicitation are losing focus from 2017, 2018 and 2019, respectively. The literature lacks the studies that reports research solutions which are validated in laboratory settings or in real contexts, experience reports, opinion papers and philosophical papers. The positive side of the finding is that the number of requirement engineering research studies in a startup context have increased in the past five years. At this instant, unfortunately the literature has limited ability to support startups by providing solutions (for instance, research solutions, evidence to support decision makings, best practices, experiences etc.) that are adoptable in their real context. Uniform focus of the researchers across all sub-activities of requirement engineering is required with effort distributed across different research types that supports startups, not only by providing validated solutions but experience reports, opinions, new conceptual frameworks and empirical evidence that can aid their decision making.01A - Beitrag in wissenschaftlicher Zeitschrift
- PublikationFostering product innovations in software startups through freelancer supported requirement engineering(Elsevier, 2020) Gupta, Varun; Fernandez-Crehuet, Jose Maria; Hanne, Thomas; Telesko, Rainer [in: Results in Engineering]This research paper explores the involvement of freelancers in requirement engineering activities to continuously innovating the value propositions and utilizing their expertise in various requirement engineering tasks. This paper reports the case study conducted with the startups that involve freelancers for the requirement engineering activities. The findings are then compared with the literature to explore the freelancer supported requirement engineering domain. Results indicate that the freelancers could help innovate value proposition by providing different perspectives of the global segments and also expertise in executing requirement engineering activities. The freelancers have varying levels of involvement in requirement engineering activities depending on on startup contexts and is highly challenged by various inhibitors. The inhibitors include difficulty to select freelancers optimally, ensuring their long term association for continuous rework arising because of continuous learnings in the market, building trust, mechanism to integrate their perspective, establishing communication, negotiations and strategic pricings. However, there is a need to optimally establish the freelancer involvement from beginning of the startup life cycle with a promise for long term benefits in exchange for their trustworthy and accurate perspectives, which is harder to get by involving crowds of customers due to resource limitations. Further research is required to investigate how freelancers could represent the samples of globally distributed customer segments as input source of information on one side and on another side become startup team representatives to establish direct interactions with global customer segments.01A - Beitrag in wissenschaftlicher Zeitschrift
- PublikationGig work business process improvement(CPS, 2018) Pustulka, Elzbieta; Telesko, Rainer; Hanne, Thomas; Wong, Ka Chun [in: ISCBI 2018. 6th International Symposium on Computational and Business Intelligence. Proceedings]We collaborate with a gig work platform company (GPC) in Switzerland. The project aims to improve the business by influencing process management within the GPC, providing automated matching of jobs to workers, improving worker acquisition and worker commitment, and particularly focusing on the prevention of no shows. One expects to achieve financial, organizational and efficiency gains. As research tools we use a combination of text mining and sentiment analysis, Business Process Modeling and Notation (BPMN), interviews with workers and employers, and the design of sociotechnical improvements to the process, including platform improvements and prototypes. Here, we focus on the successful combination of BPMN modelling with sentiment analysis in the identification of problems and generation of ideas for future modifications to the business processes.04B - Beitrag Konferenzschrift