252 research outputs found

    Experiences and Insights from Applying GQM+Strategies in a Systems Product Development Organization

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    Aligning software-related activities with corporate strategies and goals is increasingly important for several reasons such as increasing the business hit rate of software-based solutions. Several approaches have been proposed to create such an alignment. GQM+Strategies is an approach that applies measurement principles to link goals and strategies on different levels of an organisation. In this paper, we describe experiences from applying GQM+Strategies to elicit, link and align the goals of an integrated systems product development organisation across multiple organisational levels. We provide detailed insights into how GQM+Strategies was applied during a five-month period. The paper presents the application process and main lessons learnt. In addition, related approaches are described and an outlook on future work is given.Peer reviewe

    A Deployment Process for Strategic Measurement Systems

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    Explicitly linking software-related activities to an organisation's higher-level goals has been shown to be critical for organizational success. GQM+Strategies provides mechanisms for explicitly linking goals and strategies, based on goal-oriented strategic measurement systems. Deploying such strategic measurement systems in an organization is highly challenging. Experience has shown that a clear deployment strategy is needed for achieving sustainable success. In particular, an adequate deployment process as well as corresponding tool support can facilitate the deployment. This paper introduces the systematical GQM+Strategies deployment process and gives an overview of GQM+Strategies modelling and associated tool support. Additionally, it provides an overview of industrial applications and describes success factors and benefits for the usage of GQM+Strategies.Comment: 12 pages. Proceedings of the 8th Software Measurement European Forum (SMEF 2011

    Identifying Potential Problems and Risks in GQM+Strategies Models Using Metamodel and Design Principles

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    Although GQM+Strategies®1 assures that business goals and strategies are aligned throughout an organization and at each organizational unit based on the rationales to achieve the overall business goals, whether the GQM+Strategies grid is created correctly cannot be determined because the current definition of GQM+Strategies allows multiple perspectives when aligning goals with strategies. Here we define modeling rules for GQM+Strategies with a metamodel specified with a UML class diagram. Additionally, we create design principles that consist of relationship constraints between GQM+Strategies elements, which configure GQM+Strategies grids. We demonstrate that the GQM+Strategies grids can be automatically determined with the help of design principles described in OCL. In fact, an experiment is implemented using these approaches in order to show that this method helps identify and improve potential problems and risks. The results confirm that our approaches help create a consistent GQM+Strategies grid

    DETERMINING THE IMPACT OF BUSINESS STRATEGIES USING PRINCIPLES FROM GOAL-ORIENTED MEASUREMENT

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    In practice, the success or failure of business strategies is often determined by management as a gut feeling without taking into account quantitative information. If data is collected, it is often unclear how the data contributes to higher-level goals of the organization. GQM+Strategies® provides mechanisms for explicitly linking measurement goals to higher-level goals, and also to goals and strategies at the level of the entire business. It is based on experiences with software-related organizations, but is intended to be applicable in all kinds of businesses. This article gives an overview of the basic concepts and presents a practical case

    Goals/questions/metrics method and SAP implementation projects

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    During the last years some researchers have studied the critical success factors (CSFs) in ERP implementations. However, until now, no one has studied how these CSFs should be put in practice to help organizations achieve success in ERP implementations. This technical research report attempts to define the usage of Goals/Questions/Metrics (GQM) approach in the definition of a measurement system for ERP implementation projects. GQM approach is a mechanism for defining and interpreting operational, measurable goals. Lately, because of its intuitive nature the approach has gained widespread appeal. We present a metrics overview and a description of GQM approach. Then we provide an example of GQM application for monitoring sustained management support in ERP implementations. Sustained management support is the most cited critical success factor in ERP implementation projects.Postprint (published version

    Enterprise information security policy assessment - an extended framework for metrics development utilising the goal-question-metric approach

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    Effective enterprise information security policy management requires review and assessment activities to ensure information security policies are aligned with business goals and objectives. As security policy management involves the elements of policy development process and the security policy as output, the context for security policy assessment requires goal-based metrics for these two elements. However, the current security management assessment methods only provide checklist types of assessment that are predefined by industry best practices and do not allow for developing specific goal-based metrics. Utilizing theories drawn from literature, this paper proposes the Enterprise Information Security Policy Assessment approach that expands on the Goal-Question-Metric (GQM) approach. The proposed assessment approach is then applied in a case scenario example to illustrate a practical application. It is shown that the proposed framework addresses the requirement for developing assessment metrics and allows for the concurrent undertaking of process-based and product-based assessment. Recommendations for further research activities include the conduct of empirical research to validate the propositions and the practical application of the proposed assessment approach in case studies to provide opportunities to introduce further enhancements to the approach

    A Quality Model for Actionable Analytics in Rapid Software Development

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    Background: Accessing relevant data on the product, process, and usage perspectives of software as well as integrating and analyzing such data is crucial for getting reliable and timely actionable insights aimed at continuously managing software quality in Rapid Software Development (RSD). In this context, several software analytics tools have been developed in recent years. However, there is a lack of explainable software analytics that software practitioners trust. Aims: We aimed at creating a quality model (called Q-Rapids quality model) for actionable analytics in RSD, implementing it, and evaluating its understandability and relevance. Method: We performed workshops at four companies in order to determine relevant metrics as well as product and process factors. We also elicited how these metrics and factors are used and interpreted by practitioners when making decisions in RSD. We specified the Q-Rapids quality model by comparing and integrating the results of the four workshops. Then we implemented the Q-Rapids tool to support the usage of the Q-Rapids quality model as well as the gathering, integration, and analysis of the required data. Afterwards we installed the Q-Rapids tool in the four companies and performed semi-structured interviews with eight product owners to evaluate the understandability and relevance of the Q-Rapids quality model. Results: The participants of the evaluation perceived the metrics as well as the product and process factors of the Q-Rapids quality model as understandable. Also, they considered the Q-Rapids quality model relevant for identifying product and process deficiencies (e.g., blocking code situations). Conclusions: By means of heterogeneous data sources, the Q-Rapids quality model enables detecting problems that take more time to find manually and adds transparency among the perspectives of system, process, and usage.Comment: This is an Author's Accepted Manuscript of a paper to be published by IEEE in the 44th Euromicro Conference on Software Engineering and Advanced Applications (SEAA) 2018. The final authenticated version will be available onlin
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