@phdthesis{Steinert2014,
  author    = {Steinert, Bastian},
  title     = {Built-in recovery support for explorative programming},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-71305},
  school      = {Universit{\"a}t Potsdam},
  year      = {2014},
  abstract  = {This work introduces concepts and corresponding tool support to enable a complementary approach in dealing with recovery. Programmers need to recover a development state, or a part thereof, when previously made changes reveal undesired implications. However, when the need arises suddenly and unexpectedly, recovery often involves expensive and tedious work. To avoid tedious work, literature recommends keeping away from unexpected recovery demands by following a structured and disciplined approach, which consists of the application of various best practices including working only on one thing at a time, performing small steps, as well as making proper use of versioning and testing tools. However, the attempt to avoid unexpected recovery is both time-consuming and error-prone. On the one hand, it requires disproportionate effort to minimize the risk of unexpected situations. On the other hand, applying recommended practices selectively, which saves time, can hardly avoid recovery. In addition, the constant need for foresight and self-control has unfavorable implications. It is exhaustive and impedes creative problem solving. This work proposes to make recovery fast and easy and introduces corresponding support called CoExist. Such dedicated support turns situations of unanticipated recovery from tedious experiences into pleasant ones. It makes recovery fast and easy to accomplish, even if explicit commits are unavailable or tests have been ignored for some time. When mistakes and unexpected insights are no longer associated with tedious corrective actions, programmers are encouraged to change source code as a means to reason about it, as opposed to making changes only after structuring and evaluating them mentally. This work further reports on an implementation of the proposed tool support in the Squeak/Smalltalk development environment. The development of the tools has been accompanied by regular performance and usability tests. In addition, this work investigates whether the proposed tools affect programmers' performance. In a controlled lab study, 22 participants improved the design of two different applications. Using a repeated measurement setup, the study examined the effect of providing CoExist on programming performance. The result of analyzing 88 hours of programming suggests that built-in recovery support as provided with CoExist positively has a positive effect on programming performance in explorative programming tasks.},
  language  = {en}
}
@phdthesis{Perscheid2013,
  author    = {Perscheid, Michael},
  title     = {Test-driven fault navigation for debugging reproducible failures},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-68155},
  school      = {Universit{\"a}t Potsdam},
  year      = {2013},
  abstract  = {The correction of software failures tends to be very cost-intensive because their debugging is an often time-consuming development activity. During this activity, developers largely attempt to understand what causes failures: Starting with a test case that reproduces the observable failure they have to follow failure causes on the infection chain back to the root cause (defect). This idealized procedure requires deep knowledge of the system and its behavior because failures and defects can be far apart from each other. Unfortunately, common debugging tools are inadequate for systematically investigating such infection chains in detail. Thus, developers have to rely primarily on their intuition and the localization of failure causes is not time-efficient. To prevent debugging by disorganized trial and error, experienced developers apply the scientific method and its systematic hypothesis-testing. However, even when using the scientific method, the search for failure causes can still be a laborious task. First, lacking expertise about the system makes it hard to understand incorrect behavior and to create reasonable hypotheses. Second, contemporary debugging approaches provide no or only partial support for the scientific method. In this dissertation, we present test-driven fault navigation as a debugging guide for localizing reproducible failures with the scientific method. Based on the analysis of passing and failing test cases, we reveal anomalies and integrate them into a breadth-first search that leads developers to defects. This systematic search consists of four specific navigation techniques that together support the creation, evaluation, and refinement of failure cause hypotheses for the scientific method. First, structure navigation localizes suspicious system parts and restricts the initial search space. Second, team navigation recommends experienced developers for helping with failures. Third, behavior navigation allows developers to follow emphasized infection chains back to root causes. Fourth, state navigation identifies corrupted state and reveals parts of the infection chain automatically. We implement test-driven fault navigation in our Path Tools framework for the Squeak/Smalltalk development environment and limit its computation cost with the help of our incremental dynamic analysis. This lightweight dynamic analysis ensures an immediate debugging experience with our tools by splitting the run-time overhead over multiple test runs depending on developers' needs. Hence, our test-driven fault navigation in combination with our incremental dynamic analysis answers important questions in a short time: where to start debugging, who understands failure causes best, what happened before failures, and which state properties are infected.},
  language  = {en}
}
@phdthesis{Stamm2007,
  author    = {Stamm, Raini},
  title     = {Significance of the anthropometric factor in young female volleyballers´ physical abilities, technical skills, psychophysiological properties and performance in the game},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-13005},
  school      = {Universit{\"a}t Potsdam},
  year      = {2007},
  abstract  = {Aim The aim of the present study was to examine young female volleyballers' body build, physical abilities, technical skills and psychophysiological properties in relation to their performance at competitions. The sample consisted of 46 female volleyballers aged 13-16 years. 49 basic anthropometric measurements were measured and 65 proportions and body composition characteristics were calculated. 9 physical ability tests, 9 volleyball technical skills tests and 21 psychophysiological tests were carried out. The game performance was recorded by the computer program Game. The program enabled to fix the performance of technical elements in case of each player. The computer program Game calculated the index of proficiency in case of each girl for each element. The first control group consisted of 74 female volleyballers aged 13-15 years with whom reduced anthropometry was provided and 28 games were recorded. The second control group consisted of 586 ordinary schoolgirls aged 13-16 years with whom full anthropometry was provided. Results In order to systematize all anthropometric characteristics, we first studied the essence of the anthropometric structure of the body as a whole. It turned out to be a characteristic system where all variables are in significant correlation between one another and where the leading characteristics are height and weight. Therefore we based the classification on the mean height and weight of the whole sample. We formed a 5 class SD classification. There are three classes of concordance between height and weight: small height - small weight, medium height - medium height, big height - big weight. The other two classes were classes of disconcordance between height and weight- pycnomorphs and leptomorphs. We managed to show that gradual increase in height and weight brought about statistically significant increase in length, breadth and depth measurements, circumferences, bone thicknesses and skinfolds. There were also systematic changes in indeces and body composition characteristics. Pycnomorphs and leptomorphs also showed differences specific to their body types in body measurements and body composition. The results of all tests were submitted to basic statistical analysis and all correlations were found between all the tests (volleyball technical skills, psychophysiological abilities, physical abilities), and all basic anthropometric variables (n = 49) and all proportions and body composition characteristics (n = 65). All anthropometric measurements and test results were correlated with the index of proficiency for all elements of the game. The best linear regression models were calculated for predicting proficiency in different elements of the game. We can see that body build and all kind of tests took part in predicting the proficiency of the game. The most essential for performing attack, block and feint were anthropometric and psychophysiological models. The studied complex of body build characteristics and tests results determine the players' proficiency at competitions, are an important tool for testing the player's individual development, enable to choose volleyballers from among schoolgirls and represent the whole body constitutional model of a young female volleyballer. Outlook Our outlook for the future is to continue recording of all Estonian championship games with the computer program Game, to continue the players' anthropometric measuring and psychophysiological testing at competitions and to compile a national register for assessment of development of individual players and teams.},
  language  = {en}
}