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  • Public defence: 2017-11-03 13:15 Karlskrona
    Britto, Ricardo
    Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering.
    Strategizing and Evaluating the Onboarding of Software Developers in Large-Scale Globally Distributed Legacy Projects2017Doctoral thesis, comprehensive summary (Other academic)
    Abstract [en]

    Background: Recruitment and onboarding of software developers are essential steps in software development undertakings. The need for adding new people is often associated with large-scale long-living projects and globally distributed projects. The formers are challenging because they may contain large amounts of legacy (and often complex) code (legacy projects). The latters are challenging, because the inability to find sufficient resources in-house may lead to onboarding people at a distance, and often in many distinct sites. While onboarding is of great importance for companies, there is little research about the challenges and implications associated with onboarding software developers and teams in large-scale globally distributed projects with large amounts of legacy code. Furthermore, no study has proposed any systematic approaches to support the design of onboarding strategies and evaluation of onboarding results in the aforementioned context.

    Objective: The aim of this thesis is two-fold: i) identify the challenges and implications associated with onboarding software developers and teams in large-scale globally distributed legacy projects; and ii) propose solutions to support the design of onboarding strategies and evaluation of onboarding results in large-scale globally distributed legacy projects.

    Method: In this thesis, we employed literature review, case study, and business process modeling. The main case investigated in this thesis is the development of a legacy telecommunication software product in Ericsson.

    Results: The results show that the performance (productivity, autonomy, and lead time) of new developers/teams onboarded in remote locations in large-scale distributed legacy projects is much lower than the performance of mature teams. This suggests that new teams have a considerable performance gap to overcome. Furthermore, we learned that onboarding problems can be amplified by the following challenges: the complexity of the product and technology stack, distance to the main source of product knowledge, lack of team stability, training expectation misalignment, and lack of formalism and control over onboarding strategies employed in different sites of globally distributed projects. To help companies addressing the challenges we identified in this thesis, we propose a process to support the design of onboarding strategies and the evaluation of onboarding results.

    Conclusions: The results show that scale, distribution and complex legacy code may make onboarding more difficult and demand longer periods of time for new developers and teams to achieve high performance. This means that onboarding in large-scale globally distributed legacy projects must be planned well ahead and companies must be prepared to provide extended periods of mentoring by expensive and scarce resources, such as software architects. Failure to foresee and plan such resources may result in effort estimates on one hand, and unavailability of mentors on another, if not planned in advance. The process put forward herein can help companies to deal with the aforementioned problems through more systematic, effective and repeatable onboarding strategies.

  • Public defence: 2017-11-06 10:15 J1640, Karlskrona
    Sandhu, Momin Jamil
    Blekinge Institute of Technology, Faculty of Computing, Department of Creative Technologies. Harman/Becker Automotive Systems GmbH, Karlsbad, Germany.
    On Sequence Design for Integrated Radar and Communication Systems2017Doctoral thesis, comprehensive summary (Other academic)
    Abstract [en]

    The motivation of having a joint radar and communication system on a single hardware is driven by space, military, and commercial applications. However, designing sequences that can simultaneously support radar and communication functionalities is one of the major hurdles in the practical implementation of these systems. In order to facilitate a simultaneous use of sequences for both radar and communication systems, a flexible sequence design is needed.

    The objective of this dissertation is to address the sequence design problem for integrated radar and communication systems. The sequence design for these systems requires a trade-off between different performance measures, such as correlation characteristics, integrated sidelobe ratio, peak-to-sidelobe ratio and ambiguity function. The problem of finding a trade-off between various performance measures is solved by employing meta-heuristic algorithms.

    This dissertation is divided into an introduction and three research parts based on peer-reviewed publications. The introduction provides background on binary and polyphase sequences, their use in radar and communication systems, sequence design requirements for integrated radar and communication systems, and application of meta-heuristic optimization algorithms to find optimal sets of sequences for these systems.

    In Part I-A, the performance of conventional polyphase pulse compression sequences is compared with Oppermann sequences. In Part I-B, weighted pulse trains with the elements of Oppermann sequences serving as complex-valued weights are utilized for the design of integrated radar and communication systems. In Part I-C, an analytical expression for the cross-ambiguity function of weighted pulse trains with Oppermann sequences is derived. Several properties of the related auto-ambiguity and cross-ambiguity functions are derived in Part I-D. In Part II, the potential of meta-heuristic algorithms for finding optimal parameter values of Oppermann sequences for radar, communications, and integrated radar and communication systems is studied. In Part III-A, a meta-heuristic algorithm mimicking the breeding behavior of Cuckoos is used to locate more than one solution for multimodal problems. Further, the performance of this algorithm is evaluated in additive white Gaussian noise (AWGN). It is shown that the Cuckoo search algorithm can successfully locate multiple solutions in both non-noise and AWGN with relatively high degree of accuracy. In Part III-B, the cross-ambiguity function synthesization problem is addressed. A meta-heuristic algorithm based on echolocation of bats is used to design a pair of sequences to minimize the integrated square error between the desired cross-ambiguity function and a synthesized cross-ambiguity function.