@inproceedings{8067, author = {{Fazal-Baqaie, Masud and Grieger, Marvin and Sauer, Stefan}}, booktitle = {{Proceedings of the 16th International Conference of Product Focused Software Development and Process Improvement (PROFES 2015)}}, pages = {{167--181}}, publisher = {{Springer}}, title = {{{Tickets without Fine - Artifact-based Synchronization of Globally Distributed Software Development in Practice}}}, doi = {{dx.doi.org/10.1007/978-3-319-26844-6_12}}, volume = {{9459}}, year = {{2015}}, } @inproceedings{8068, author = {{Fazal-Baqaie, Masud and Raninen, Anu}}, booktitle = {{Industrial Proceedings of the 22nd European Systems Software & Service Process Improvement & Innovation Conference (EuroSPI²2015)}}, pages = {{5.1 -- 5.10}}, publisher = {{WHITEBOX, Denmark}}, title = {{{Successfully Initiating a Global Software Project}}}, year = {{2015}}, } @inproceedings{8069, abstract = {{Die cloudbasierte Bereitstellung von Funktionen als Software-as-a-Service (SaaS) ermöglicht die Erschließung neuer Kundenpotenziale bei kleinen und mittelgroßen Unternehmen.}}, author = {{Nagel, Benjamin and Schröder, Klaus and Becker, Steffen and Sauer, Stefan and Engels, Gregor}}, booktitle = {{Software Engineering & Management 2015}}, pages = {{255--260}}, title = {{{Kooperative Methoden- und Werkzeugentwicklung zur Cloudmigration von proprietären Anwendungskomponenten}}}, doi = {{https://groups.uni-paderborn.de/fg-engels/Publications/10.1007/978-3-319-26844-6_12}}, volume = {{LNI-239}}, year = {{2015}}, } @inproceedings{5747, author = {{Yigitbas, Enes and Mohrmann, Bastian and Sauer, Stefan}}, booktitle = {{Proceedings of the 1st Workshop on Large-scale and Model-based Interactive Systems: Approaches and Challenges, {LMIS} 2015, co-located with 7th {ACM} {SIGCHI} Symposium on Engineering Interactive Computing Systems {(EICS} 2015), Duisburg, Germany, June 23, 2015.}}, pages = {{42--46}}, title = {{{Model-driven UI Development Integrating HCI Patterns}}}, year = {{2015}}, } @inproceedings{5748, author = {{Yigitbas, Enes and Sauer, Stefan and Engels, Gregor}}, booktitle = {{Human-Computer Interaction: Interaction Technologies - 17th International Conference, {HCI} International 2015, Los Angeles, CA, USA, August 2-7, 2015, Proceedings, Part {II}}}, pages = {{563--572}}, title = {{{A Model-Based Framework for Multi-Adaptive Migratory User Interfaces}}}, doi = {{10.1007/978-3-319-20916-6\_52}}, year = {{2015}}, } @inproceedings{6259, author = {{Fischer, Holger Gerhard and Yigitbas, Enes and Sauer, Stefan}}, booktitle = {{Proceedings of 15th IFIP TC.13 International Conference on Human-Computer Interaction (INTERACT)}}, location = {{Bamberg}}, pages = {{215--221}}, publisher = {{University of Bamberg Press}}, title = {{{Integrating Human-Centered and Model-Driven Methods in Agile UI Development}}}, volume = {{22}}, year = {{2015}}, } @inproceedings{6262, author = {{Fischer, Holger Gerhard and Polkehn, Knut and Geis, Thomas and Kluge, Oliver and Behrenbruch, Kay and Riedemann, Catharina}}, booktitle = {{Mensch und Computer 2015 - Usability Professionals}}, pages = {{371--378}}, publisher = {{De Gruyter, Berlin}}, title = {{{Qualitätsdimensionen für interaktive Systeme - Stand der Arbeiten UPA AK Qualitätsstandards}}}, year = {{2015}}, } @proceedings{6308, editor = {{Fischer, Holger Gerhard and Endmann, Anja and Krökel, Malte}}, isbn = {{978-3-11-044332-5}}, publisher = {{De Gruyter}}, title = {{{Mensch und Computer 2015 - Usability Professionals. Tagungsband}}}, year = {{2015}}, } @article{7253, author = {{Güldali, Baris and Fazal-Baqaie, Masud}}, journal = {{OBJEKTspektrum (Online Themenspecials)}}, number = {{Agility/2015}}, pages = {{1--4}}, title = {{{Skalieren von großen agilen Projekten mit verteilten Backlogs}}}, year = {{2015}}, } @article{7254, author = {{Fazal-Baqaie, Masud and Sauer, Stefan and Heuft, Torsten}}, journal = {{WI-MAW-Rundbrief}}, number = {{1}}, pages = {{5--13}}, title = {{{Agile Entwicklung mit On- und Offshore-Partnern – Methodenverbesserung in der Praxis}}}, volume = {{21}}, year = {{2015}}, } @article{7255, author = {{Grieger, Marvin and Fazal-Baqaie, Masud}}, journal = {{Softwaretechnik-Trends, Proceedings of the 17th Workshop Software-Reengineering (WSRE)}}, number = {{2}}, pages = {{41--42}}, title = {{{Towards a Framework for the Modular Construction of Situation-Specific Software Transformation Methods}}}, volume = {{35}}, year = {{2015}}, } @inproceedings{7256, author = {{Güldali, Baris and Rose, Mirko and Teetz, Alexander and Flake, Stephan and Rust, Carsten}}, title = {{{Modellbasiertes Testen bei der Entwicklung einer IKT-Infrastruktur für Elektromobilität}}}, year = {{2015}}, } @article{7257, author = {{Huma, Zille and Gerth, Christian and Engels, Gregor}}, journal = {{Computer Science - Research and Development}}, number = {{3-4}}, pages = {{333--361}}, title = {{{On-the-Fly Computing: Automatic Service Discovery and Composition in Heterogeneous Domains}}}, volume = {{30}}, year = {{2015}}, } @phdthesis{7568, abstract = {{Today's web search and big data analytics applications aim to address information needs~(typically given in the form of search queries) ad-hoc on large numbers of texts. In order to directly return relevant information instead of only returning potentially relevant texts, these applications have begun to employ text mining. The term text mining covers tasks that deal with the inference of structured high-quality information from collections and streams of unstructured input texts. Text mining requires task-specific text analysis processes that may consist of several interdependent steps. These processes are realized with sequences of algorithms from information extraction, text classification, and natural language processing. However, the use of such text analysis pipelines is still restricted to addressing a few predefined information needs. We argue that the reasons behind are three-fold: First, text analysis pipelines are usually made manually in respect of the given information need and input texts, because their design requires expert knowledge about the algorithms to be employed. When information needs have to be addressed that are unknown beforehand, text mining hence cannot be performed ad-hoc. Second, text analysis pipelines tend to be inefficient in terms of run-time, because their execution often includes analyzing texts with computationally expensive algorithms. When information needs have to be addressed ad-hoc, text mining hence cannot be performed in the large. And third, text analysis pipelines tend not to robustly achieve high effectiveness on all texts, because their results are often inferred by algorithms that rely on domain-dependent features of texts. Hence, text mining currently cannot guarantee to infer high-quality information. In this thesis, we contribute to the question of how to address information needs from text mining ad-hoc in an efficient and domain-robust manner. We observe that knowledge about a text analysis process and information obtained within the process help to improve the design, the execution, and the results of the pipeline that realizes the process. To this end, we apply different techniques from classical and statistical artificial intelligence. In particular, we first develop knowledge-based approaches for an ad-hoc pipeline construction and for an optimal execution of a pipeline on its input. Then, we show theoretically and practically how to optimize and adapt the schedule of the algorithms in a pipeline based on information in the analyzed input texts in order to maximize execution efficiency. Finally, we learn patterns in the argumentation structures of texts statistically that remain strongly invariant across domains and that, thereby, allow for more robust analysis results in a restricted set of tasks. We formally analyze all developed approaches and we implement them as open-source software applications. Based on these applications, we evaluate the approaches on established and on newly created collections of texts for scientifically and industrially important text analysis tasks, such as financial event extraction and fine-grained sentiment analysis. Our findings show that text analysis pipelines can be designed automatically, which process only portions of text that are relevant for the information need at hand. Through scheduling, the run-time efficiency of pipelines can be improved by up to more than one order of magnitude while maintaining effectiveness. Moreover, we provide evidence that a pipeline's domain robustness substantially benefits from focusing on argumentation structure in tasks like sentiment analysis. We conclude that our approaches denote essential building blocks of enabling ad-hoc large-scale text mining in web search and big data analytics applications.}}, author = {{Wachsmuth, Henning}}, title = {{{Pipelines for Ad-hoc Large-scale Text Mining}}}, year = {{2015}}, } @inproceedings{8491, author = {{Derakhshanmanesh , Mahdi and Ebert , Jürgen and Grieger, Marvin }}, booktitle = {{Proceedings of the 2nd International Workshop on Model-Driven Engineering for Component-Based Software Systems co-located with ACM/IEEE 18th International Conference on Model Driven Engineering Languages & Systems (MoDELS 2015)}}, pages = {{6--11}}, publisher = {{CEUR Workshop Proceedings}}, title = {{{Challenges for Model-Integrating Components}}}, volume = {{1463}}, year = {{2015}}, } @inproceedings{8492, author = {{Derakhshanmanesh , Mahdi and Grieger, Marvin }}, booktitle = {{Gemeinsamer Tagungsband der Workshops der Tagung Software Engineering 2015}}, pages = {{112--114}}, publisher = {{CEUR Workshop Proceedings}}, title = {{{On Enabling Technologies for Longevity in Software}}}, volume = {{1337}}, year = {{2015}}, } @inproceedings{8493, author = {{Derakhshanmanesh , Mahdi and Grieger , Marvin and Ebert, Jürgen }}, booktitle = {{Proceedings of the 10th Workshop on Models@run.time co-located with 18th International Conference on Model Driven Engineering Languages and Systems (MODELS 2015)}}, pages = {{21--30}}, publisher = {{CEUR Workshop Proceedings}}, title = {{{On the Need for Transactional Models@Run.Time}}}, volume = {{1474}}, year = {{2015}}, } @inproceedings{6726, author = {{Czerwinski, Wojciech and Martens, Wim and van Rooijen, Lorijn and Zeitoun, Marc}}, booktitle = {{Fundamentals of Computation Theory - 20th International Symposium, (FCT) 2015, Gdańsk, Poland, August 17-19, 2015, Proceedings}}, pages = {{173--185}}, title = {{{A Note on Decidable Separability by Piecewise Testable Languages}}}, doi = {{10.1007/978-3-319-22177-9\_14}}, year = {{2015}}, } @inproceedings{6719, author = {{Heindorf, Stefan and Potthast, Martin and Stein, Benno and Engels, Gregor}}, booktitle = {{SIGIR}}, isbn = {{9781450336215}}, pages = {{831--834}}, publisher = {{ACM}}, title = {{{Towards Vandalism Detection in Knowledge Bases}}}, doi = {{10.1145/2766462.2767804}}, year = {{2015}}, } @inproceedings{364, abstract = {{Today, software components are traded on markets in form of services. These services can also be service compositions consisting of several services. If a software architect wants to provide such a service composition in the market for trade, she needs to perform several tasks: she needs to model the composition, to discover existing services to be part of that composition, and to analyze the composition's functional correctness as well as its quality, e.g., performance. Up to now, the architect needed to find and use different tools for these tasks. Typically, these tools are not interoperable with each other. We provide the tool SeSAME that supports a software architect in all of these tasks. SeSAME is an integrated Eclipse-based tool-suite providing a comprehensive service specification language to model service compositions and existing services. Furthermore, it includes modules for service matching, functional analysis, and non-functional analysis. SeSAME is the first tool that integrates all these tasks into one tool-suite and, thereby, provides holistic support for trading software services. Thus, it contributes to a software provider's market success.}}, author = {{Arifulina, Svetlana and Becker, Matthias and Platenius, Marie Christin and Walther, Sven}}, booktitle = {{Proceedings of the 29th IEEE/ACM International Conference on Automated Software Engineering (ASE 2014)}}, pages = {{839--842}}, title = {{{SeSAME: Modeling and Analyzing High-Quality Service Compositions}}}, doi = {{10.1145/2642937.2648621}}, year = {{2014}}, }