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This paper presents our empirical observations related to the evolution of a large automated test system. The system observed is used in the industry as a test tool for complex telecommunication systems, itself consisting of more than one million lines of source code. This study evaluates how different changes during the development have changed the number of observed Code Smells in the test system. We have monitored the development of the test scripts and measured the code quality characteristics over a five years period.

The observations show that the introduction of continuous integration, the existence of tool support for quality improvements in itself, changing the development methodologies (from waterfall to agile), changing technical and line management structure and personnel caused no measurable change in the trends of the observed Code Smells. Internal quality improvements were achieved mainly by individuals intrinsic motivation. Our measurements show similarities with earlier results on software systems evolutions presented by Lehman.

References [1] L. B. Alexandrov, Serena Nik-Zainal, et al., Signatures of mutational processes in human cancer, Nature 500 (7463) (2013) 415-421. ⇒152 [2] J. Arram, K. H. Tsoi, Wayne Luk, P. Jiang, Hardware Acceleration of Genetic Sequence, Chapter: Reconfigurable Computing: Architectures, Tools and Applications, Lecture Notes in Comp. Sci. , 7806 13–24. ⇒173 [3] K. Benkrid, Liu Ying, A. Benkrid, A highly parameterized and efficient FPGA-based skeleton for pairwise biological sequence alignment, very large scale integration (VLSI) systems, IEEE Transactions

substitution in SMT solving , Diploma thesis, RWTH Aachen University, 2011. ⇒14 [15] F. Corzilius, Integrating Virtual Substitution into Strategic SMT Solving . PhD thesis, RWTH Aachen University, 2016. ⇒15 [16] F. Corzilius, G. Kremer, S. Junges, S. Schupp, E. Ábrahám, SMT-RAT: An open source C++ toolbox for strategic and parallel SMT solving. Proc. of SAT’15 (2015), vol. 9340 of LNCS , Springer, pp. 360–368. ⇒6, 7, 9, 15, 20 [17] F. Corzilius, U. Loup, S. Junges, S., E. Ábrahám, SMT-RAT: An SMT-compliant nonlinear real arithmetic toolbox. Proc. of SAT’12 (2012), vol

, J. Pike, 3d positional integration from image sequences, Proc. of the Alvey Vision Conference, Manchester, UK, 1987, pp. 87-90. ⇒187 [18] C. Harris, M. Stephens, A combined corner and edge detector, Proc. of the 4th Alvey Vision Conference, Manchester, UK, 1988, pp. 147-151. ⇒190 [19] R. I. Hartley, In defense of the eight-point algorithm, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI'97) 19, 6 (1997) 580-593. ⇒191 [20] R. I. Hartley, A. Zisserman, Multiple View Geometry in Computer Vision, (2nd edition), Cambridge University Press

References Aguilera, D., Lahoz, J., Finat, J., Martinez, J., Fernandez, J., & San Josem, J. (2006). Terrestrial laser scanning and low-cost aerial photogrammetry in the archeological modeling of a Jewish tanneries. International Archives of Photogram., Remote Sensing, Volume XXXVIII-5/W1 Alshawabkeh,Y., & Haala, N. (2004). Integration of Digital Photogrammetry and Laser Scanning for Heritage Documentation. International Archives of Photogrammetry and Remote Sensing, Volume XXXV, B5, Istambul Bakuła, K. (2010). Comparison of the object shape generated from

References Aien A., Rajabifard A, Kalantari M., Williamson I. & Shojaei D. (2014): Development of XML Schemas for Implementation of a 3D Cadastral Data Model, 4th International Workshop on 3D Cadastres 9-11 November 2014, Dubai, United Arab Emirates El-Mekawy M., Paasch J. & Paulsson J. (2014): Integration of 3D Cadastre, 3D Property Formation and BIM in Sweden 4th International Workshop on 3D Cadastres, 9-11 November 2014, Dubai, United Arab Emirates García J.M.O., Soriano L.I.V., Velasco A. & Varés M. (2011): 3D Modeling and Representation of the Spanish


The paper presents current trends in determining the dynamic deformations of bridge structures through the exploitation of geodetic measurements by accelerometers. The main aim of the paper is to demonstrate the practical application of these measurements on the cycling bridge over the river Morava in Devínska Nová Ves. Possibilities for the processing and analysis of accelerometer measurements by spectral analysis are described. An evaluation of the results is realized based on the modal characteristics from a numerical model designed by the finite element method.

Remote Sensing , Vol. 71, No. 4, 377–389. Ito, K., Xiong, K. (2000). „Gaussian Filters for Nonlinear Filtering Problems.” IEEE Transactions on Automatic Control , 45(5), 910–927. Kalman R. E., (1960) „A New Approach to Linear Filtering and Prediction Problems”, Trans. of the ASME - Journal of Basic Engineering, p. 35-45. Kaniewski, P., (2006) „Aircraft Positioning with INS/GNSS Integrated System” Molecular and Quantum Acoustics, Vol. 27, p. 149-168. Kim, H et al. (2003) „An Ultra Tightly coupled GPS/INS Integration using Federated Kalman Filter.” ION GPS . Knight, D

rate sensors. Mc Graw Hill. Farrell Jay A., J. W. (2017). GNSS/INS Integration. springer handbook of global navigation satellite systems (S. I. Publishing, Ed.). Springer International Publishing. Foxlin, E. (2005). Pedestrian tracking with shoe-mounted inertial sensors. IEEE Comput. Graph. Appl(25(6)), 38-46. Freescale. (2012). Implementing a tilt-compensated eCompass using accelerometer and magnetometer sensors. Freescale Semiconductor Application Note. Groves, D. (2008). Principles of GNSS, inertial, and multisensory integrated navigation systems. Artech House


Numerous mobile applications are available that aim at supporting sustainable physical activity and fitness training in sedentary or low-trained healthy people. However, the evaluation of the quality of these applications often suffers from severe shortcomings such as reduction to selective aspects, lack of theory or suboptimal methods. What is still missing, is a framework that integrates the insights of the relevant scientific disciplines.

In this paper, we propose an integrative framework comprising four modules: training, behavior change techniques, sensors and technology, and evaluation of effects. This framework allows to integrate insights from training science, exercise physiology, social psychology, computer science, and civil engineering as well as methodology. Furthermore, the framework can be flexibly adapted to the specific features of the mobile applications, e.g., regarding training goals and training methods or the relevant behavior change techniques as well as formative or summative evaluation.