Kajiantentang pertumbuiian dan parameter genetik pada kebun benin semai uji keturunan eucalyptus pellita f. muell di Kalimantan Selatan

Successful Industrial Plantation Forest (HTI) largely depends on seed quality. For this reason, an increasing demand of high quality seed has become one of urgent matters to be solved immediately. Establishment of seed orchard might be appropriate to meet this purpose. Furthermore, those seed orchards could be improved genetically with the application of tree improvement principle. Establishment of a progeny test-seedling seed orchard was expected to have the following objectives: 1). progeny test to provide information for selection (roguing), 2). seed orchard to produce genetically improved seed and 3). base population to select plus trees for the next generation. The progeny test-seMling seed orchard of Eucalyptus pellita F. Muell at Peleihari, South Kalimantan consisted of 155 families from 6 provenances. Experiment was set up in a Randomized Complete Block Design at 10 replications, 5 lines tree plot and spacing of 4 x 1.5 m. Height, diameter (dbh) and stem straightness were measured every 4 months after planting until 28 months. Data were analyzed using analysis of variance and covariance to see variation between families, family heritability and genetic correlation among traits. Results indicated that: 1) family variation on growth traits were significant, 2) family heritability seemed to be sufficiently high and almost constant, and 3) the correlation among traits was positive and varied from moderate to high. Key words: Eucalyptus pellita, family variation, genetic correlation, heritability, progeny tes

Designing the management systems for offices

An initial review of literature concerned with commercial and industrial office design indicated the need to research and develop a method for the design of the management systems of offices with the purpose of improving the operational effectiveness and alignment to strategy. In particular the literature review indicated that the application of lean methods, in non-manufacturing areas is comparatively rare. A critical review of the literature identified that Value Stream Mapping has been used to map mechanistic task activities, however, a need was identified for a new generation of Value Stream Mapping to map mixed mechanistic and organic task activities. To complement the literature survey and discover if there were significant variables (e.g. task uncertainty, interdependence, task complexity, mechanistic / organic structures, risk, task analysability etc) influencing office design, pilot studies were carried out in a mechanistic and organic office. Several additional variables were identified. From the pilot studies combined with the literature review a conceptual model was formulated which provides guidelines for managers enabling them to design the management systems fully taking all the variables into account. The conceptual model was then tested using a multiple case study design of two small consulting type offices that exhibited mixed mechanistic and organic characteristics. This resulted in an improved version of the model which was then further validated. This validation based upon the opinions of office managers focused mainly on identifying the practical usefulness of the model from an industrial perspective. Following the validation a final form of the model has been proposed in this research. It remains for future researchers to fully test the model by applying it in a wider range of offices. This study makes an explicit contribution to the redesign of offices as well as the utilisation of Value Stream Mapping to the mechanistic and the organic task activities within commercial and industrial offices

Scalable Model-based Robustness Testing: Novel Methodologies and Industrial Application

Embedded systems, as for example communication and control systems, are being increasingly used in our daily lives and hence require thorough and systematic testing before their actual use. Many of these systems interact with their environment and, therefore, their functionality is largely dependent on this environment whose behavior can be unpredictable. Robustness testing aims at testing the behavior of a system in the presence of faulty situations in its operating environment (e.g., sensors and actuators). In such situations, the system should gracefully degrade its performance instead of abruptly stopping execution. To systematically perform robustness testing, one option is to resort to Model-Based Robustness Testing (MBRT), which is a systematic, rigorous, and automated way of conducting robustness testing. However, to successfully apply MBRT in industrial contexts, new technologies need to be developed to scale to the complexity of real industrial systems. This thesis presents a solution for MBRT on industrial systems, including scalable robustness modeling and executable test case generation. One important contribution of this thesis is a scalable RobUstness Modeling Methodology (RUMM), which is achieved using Aspect-Oriented Modeling (AOM). It is a complete, automated, and practical methodology that covers all features of state machines and aspect concepts necessary for MBRT. Such methodology, relying on a standard (Unified Modeling Language or UML) and using the target notation as the basis to model the aspects themselves, is expected to make the practical adoption of robustness modeling easier in industrial contexts. The applicability of the methodology is demonstrated using an industrial case study. Results showed that the approach significantly reduced modeling effort (98% on average), improved separation of concerns, and eased model evolution. The approach is further empirically evaluated using two controlled experiments involving human subjects and results showed that the proposed methodology significantly improves the readability of models as compared to modeling using standard UML notations. Another important contribution of this thesis is an efficient approach for solving constraints (written in Objects Constraint Language (OCL)) on the operating environment of a system, which is mandatory for emulating faulty situation in the environment for the purpose of MBRT. A set of novel heuristics is devised for various OCL constructs, which are required for the application of search algorithms. The heuristics have been empirically evaluated on an industrial case study for robustness testing and the results showed to be very promising and significantly better than the existing works in the literature on OCL constraint solvers. A final contribution of the thesis is robustness test case generation from the models developed using RUMM. Test case generation also includes scripts generation for environment emulation, which is mandatory for automated robustness testing again using an industrial case study. In preliminary experiments, the execution of test cases found one critical, robustness fault in a deployed industrial system

Enablers and Impediments for Collaborative Research in Software Testing: An Empirical Exploration

When it comes to industrial organizations, current collaboration efforts in software engineering research are very often kept in-house, depriving these organizations off the skills necessary to build independent collaborative research. The current trend, towards empirical software engineering research, requires certain standards to be established which would guide these collaborative efforts in creating a strong partnership that promotes independent, evidence-based, software engineering research. This paper examines key enabling factors for an efficient and effective industry-academia collaboration in the software testing domain. A major finding of the research was that while technology is a strong enabler to better collaboration, it must be complemented with industrial openness to disclose research results and the use of a dedicated tooling platform. We use as an example an automated test generation approach that has been developed in the last two years collaboratively with Bombardier Transportation AB in Sweden