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Product roadmapping enhances the product development process by enabling early information and long-term decision making about the products in order to deliver the right products to the right markets at the right time. However, relatively little scientific knowledge is available on the application and usefulness of product roadmapping in software product development context. This study develops a framework for software product roadmapping, which is then used to study the critical aspects of the product roadmapping process. The collection of empirical evidence includes both quantitative and qualitative data which sheds further insight into the complexities involved in product roadmapping. Results revealed that organizations view the product roadmap mainly as a tool for strategic decision making as it aims at showing the future directions of the company's products. However, only a few companies appear to have an explicit approach for handling the mechanisms for creating and maintaining such a roadmap. Finally, it is suggested that the strategic importance of product roadmapping is likely to increase in the future and, as a conclusion, a new type of agility is required in order to survive in the turbulent and competitive software business environment.
In this paper, we propose a method for predicting development effort based on user stories. Such approach is well suited for Agile software projects where requirements are developed along with the project and only sketched in a rough manner. We apply the proposed method to two industrial Agile software projects of very different size and structure. We show that such effort estimation works reasonably well if user stories are written in a structured way.
Cloud computing has captured the attention of both the researchers and practitioners alike. Companies and other cloud users are expecting to receive significant benefits from the new cloud based technologies. To what extent these benefits materialize for enterprise IT is not clearly understood. In this paper, we examine the perceived benefits of cloud computing from the cloud users' perspectives. Cloud users include users of SaaS/PaaS/IaaS, ranging from end-users, to service developers and system administrators. Using content analysis techniques, we examine one of the major discussion forums of cloud computing. Rather than offering a yes/no answer to the question posed, we offer five empirically drawn insights on the perceived benefits of cloud computing. It is proposed that the empirical insights gained are valuable to both researchers and practitioners. The value lies in a more holistic view on the promised benefits' landscape.
What if pathology foundation models could do more with less? GigaPath-Flash and GigaTIME-Flash cut computational demands while maintaining strong performance, opening the door to larger studies and broader exploration. The post GigaPath-Flash and GigaTIME-Flash: Toward population-scale discovery with efficient pathology foundation models appeared first on Microsoft Research.
With millions of users across the world, Julia has been used to conduct cutting-edge research and to design new drugs, jet engines, heat pumps, and more.
A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.
Human-Computer Interaction and Visualization
A Blog post by Multiverse Computing on Hugging Face
An expert in machine learning, statistics, and computation, Rakhlin succeeds Professor Ankur Moitra.
