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  • 1.
    Axelsson, Jakob
    et al.
    RISE, Swedish ICT, SICS, Software and Systems Engineering Laboratory.
    Papatheocharous, Efi
    RISE, Swedish ICT, SICS, Software and Systems Engineering Laboratory.
    Nyfjord, Jaana
    RISE - Research Institutes of Sweden, ICT, SICS.
    Törngren, Martin
    KTH Royal Institute of Technology, Sweden.
    Notes On Agile and Safety-Critical Development2016In: Software Engineering Notes: an Informal Newsletter of The Specia, ISSN 0163-5948, E-ISSN 1943-5843, Vol. 41, no 2, p. 23-36Article in journal (Refereed)
    Abstract [en]

    Agile approaches have been highly influential to the software engineering practices in many organizations, and are increasingly being applied in larger companies, and for developing systems outside the pure software domain. To understand more about the current state of agile, its applications to safety-critical systems, and the consequences on innovation and large organizations, a seminar was organized in Stockholm in 2014. This paper gives an overview of the topics discussed at that seminar, a summary of the main results and suggestions for future work as input to a research agenda for agile development of safety-critical software.

  • 2.
    Nyfjord, Jaana
    et al.
    RISE - Research Institutes of Sweden, ICT, SICS.
    Bathallath, Sameer
    Stockholm University, Sweden.
    Kjellin, Harald
    Stockholm University, Sweden.
    Conventions for Coordinating Large Agile Projects2014Conference paper (Refereed)
    Abstract [en]

    There is no universal way to coordinate Agile teams in large development projects because they have unique challenges. This suggests that the best way to coordinate the teams is to ask them how they want to be managed given a set of constraints. This requires particular communication and negotiation skills in the leadership team, which we discuss in this article. We describe the skills as a set of conventions, founded on the argument that every organization is a complex adaptive system and should therefore be analyzed from multiple system perspectives. We investigate scientific models for managing complexity and evaluate their usefulness through qualitative interviews with 14 managers in large private and public organizations in Saudi Arabia. We conclude that a set of proposed conventions could facilitate coordination by functioning as a supportive context enabling managers to apply various system perspectives simultaneously.

  • 3.
    Papatheocharous, Efi
    et al.
    RISE - Research Institutes of Sweden, ICT, SICS.
    Belk, Marios
    University of Cyprus, Cyprus.
    Nyfjord, Jaana
    RISE - Research Institutes of Sweden, ICT, SICS.
    Germanakos, Panagiotis
    SAP AG, Germany.
    Samaras, George
    University of Cyprus, Cyprus.
    Personalised continuous software engineering2014In: Proceedings of the 1st International Workshop on Rapid Continuous Software Engineering, 2014, p. 57-62Conference paper (Refereed)
    Abstract [en]

    This work describes how human factors can influence continuous software engineering. The reasoning begins from the Agile Manifesto promoting individuals and interactions over processes and tools. The organisational need to continuously develop, release and learn from software development in rapid cycles requires empowered and self-organised agile teams. However, these teams are formed without necessarily considering the members' individual characteristics towards effective teamwork, from the personality and cognitive perspective. In this realm, this paper proposes a two level approach: first, form teams based on their collective personality traits and second, provide personalised tools and methods based on their individual differences in cognitive processing. The approach is motivated by a study conducted in a business environment focusing on task execution, satisfaction and effectiveness of team members in relation to their personalities and cognitive characteristics. Our preliminary results show that human factors provide a promising basis for increasing the capability of continuous software engineering.

  • 4.
    Papatheocharous, Efi
    et al.
    RISE, Swedish ICT, SICS, Software and Systems Engineering Laboratory.
    Nyfjord, Jaana
    RISE - Research Institutes of Sweden, ICT, SICS.
    Papageorgiou, Elpiniki
    Fuzzy Cognitive Maps as Decision Support Tools for Investigating Critical Agile Adoption Factors2013Conference paper (Refereed)
    Abstract [en]

    A lot of discussion on how to efficiently develop software by using agile methods in enterprises and what kind of implications enterprises face on their path towards enterprise agility exists in nowadays. This paper describes how Fuzzy Cognitive Maps (FCM) can be used as Computational Intelligence (CI) tools for Decision Support (DS) in reducing the risks of the implications in this adaptation or transformation process. Particularly, FCM are used in understanding the effect of a set of critical Agile Adoption Factors (AAF) proposed in literature in the success of adopting agile. A set of preliminary experiments have been conducted to show that AAF can be evaluated with the use of FCM and their effect on adoption success is validated in three specific contexts. The scenarios investigated show that a critical implication is corporate bureaucracy. Also, results indicate that some enablers are the project teams’ personal traits, such as collaborative attitude and readiness to change, as well as, the customers’ level of commitment. The proposed FCM model provides an insight on the usefulness of the method for assessing agile transformation success.

  • 5.
    Shah, Syed
    et al.
    RISE, Swedish ICT, SICS.
    Papatheocharous, Efi
    RISE, Swedish ICT, SICS, Software and Systems Engineering Laboratory.
    Nyfjord, Jaana
    RISE - Research Institutes of Sweden (2017-2019), ICT, SICS.
    Measuring Productivity in Agile Software Development Process: A Scoping Study2015In: Proceedings of the 2015 International Conference on Software and System Process (ICSSP 2015), New York, NY, USA: ACM , 2015, 12, p. 102-106Conference paper (Refereed)
    Abstract [en]

    An agile software development process is often claimed to increase productivity. However, productivity measurement in agile software development is little researched. Measures are not explicitly defined nor commonly agreed upon. In this paper, we highlight the agile productivity measures reported in literature by means of a research method called scoping study. We were able to identify 12 papers reporting the productivity measures in agile software development processes. We found that finding, understanding and putting into use agile productivity definitions is not an easy task. From the perspective of common roles in agile software development process and existing knowledge workers' productivity dimensions, we also emphasize that none of the productivity measures satisfy these fully. We recommend that future effort should be focused on defining agile productivity in measurable, practicable and meaningful form.

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