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Telecom base stations are a critical part of society's information infrastructure. To ensure high quality base station software, automated testing is an important part of development. Ericsson measures the quality of automated tests with statement coverage, counting the number of statements executed by a test suite. Alone, however, statement coverage does not guarantee test quality. Mutation testing is a technique to improve test quality by injecting faults and verifying that test suites detect them. This thesis investigates whether mutation testing is a viable way to increase the reliability of test suites for base station software at Ericsson. Using the open-source mutation testing tool MiLu, we describe a practical method of using mutation testing that is viable for daily development. We also describe how mutation testing reveals a numbers of potential errors in the production code that current test suites miss even though they have very good statement coverage.

It is well known that some ungulates produce clicking sound by limbs, but often without more details. This study deals with the clicking sound in five cervid taxons, specifically in Caribou (Rangifer tarandus), Pere David´s Deer (Elaphurus davidianus), Western Red Deer (Cervus elaphus), Moose (Alces alces), Barbary stag (Cervus elaphus barbarus) in detail. Dominant frequency, 25% quartile, 50% quartile, 75% quartile were investigated for these species, with the particular attention to sex, age and limb position (forelimb, hind-limb) of studied individuals. Clicks sounds were recorded by solid state recorder Marantz PMD 620 with microphone and handset and analysed using program Avisoft-SAS Lab Pro Software, verze 5.0.01 (2010). Statistical analysis of obtained sound parameters were performed using program STATISTICA, version 12 (ANONYMUS 2012).Individuals within the species were compared using discriminant analysis and one-way ANOVA, species using discriminant analysis and nested ANOVA. Nested ANOVA was also used for testing of the sex and age influence on click parameters. Phylogenetic distribution of clicking was determined using the parsimony approach. Results suggest differences among within particular taxon, but differences among species depend on used methods (they are different using nested ANOVA, but they are not different except for Barbary stag in discriminant analysis). Click parameters were significantly associated with age, but not with sex of particular individuals. Ancestor of cervids seems to produce clicking, the evolution of this sound was associated later with its reduction in course of cervid evolution.