Object-oriented design

About: Object-oriented design is a research topic. Over the lifetime, 5136 publications have been published within this topic receiving 144108 citations.

Object oriented software build framework mechanism

Abstract: A framework for use with object-oriented programming systems provides a software build system that detects modules that make up a software product, examines each module to determine if it is up-to-date, and automatically updates any modules that require processing. The framework includes a software object of a class called “Product” that comprises a software product to be processed and built. An instance of the Product is comprised of multiple software build objects, each of which is called “Object”. Each Object in turn contains four objects that are a kind of object class called BldSrc (Build Source). The BldSrc objects specify a different aspect of the software product and desired processing. Each of the software build objects in a Product's Object list is examined to determine if all four of the BldSrc objects is current. If any one of the software build objects is not current, the Object is re-built. If all four objects are current, the re-building step is skipped. In this way, each of the software build Objects making up a Product is automatically examined and processed, and the Product is produced.

Sometimes Tomorrow is Sometime - Action Refinement in a Temporal Logic of Objects

Abstract: We address the hierarchical (vertical) decomposition, or abstract implementation, of object specification in temporal logic. Whereas previous approaches to refinement in the context of temporal logic such as those developed by Lamport and by Barringer, Kuiper and Pnueli are based on a single logic that accommodates different levels of action granularity, our approach is based on relating different logics corresponding to different levels of granularity. More precisely, we map abstract actions (propositions) to concrete objects (theories) and, through inference rules that relate the different logics, derive properties of the abstracted actions from the behaviour of the corresponding objects. In this way, we keep a tighter control of action granularity and interference, enabling us to maintain the use of the “next” operator and make the development of reactive systems more tractable.

Booktwo of Object-Oriented Knowledge: The Working Object : Object-Oriented Software Engineering : Methods and Management

Abstract: The system design environment systems some common information systems gathering information problem solving steps starting a project data flow diagrams describing data additional modelling method process description object modelling documentation designing a new system user interface design relational analysis database design program design productivity tools project management strategic planning quality assurance cases.

Automatic discovery of groups of objects for scene understanding

Abstract: Objects in scenes interact with each other in complex ways. A key observation is that these interactions manifest themselves as predictable visual patterns in the image. Discovering and detecting these structured patterns is an important step towards deeper scene understanding. It goes beyond using either individual objects or the scene as a whole as the semantic unit. In this work, we promote "groups of objects". They are high-order composites of objects that demonstrate consistent spatial, scale, and viewpoint interactions with each other. These groups of objects are likely to correspond to a specific layout of the scene. They can thus provide cues for the scene category and can also prime the likely locations of other objects in the scene. It is not feasible to manually generate a list of all possible groupings of objects we find in our visual world. Hence, we propose an algorithm that automatically discovers groups of arbitrary numbers of participating objects from a collection of images labeled with object categories. Our approach builds a 4-dimensional transform space of location, scale and viewpoint, and efficiently identifies all recurring compositions of objects across images. We then model the discovered groups of objects using the deformable parts-based model. Our experiments on a variety of datasets show that using groups of objects can significantly boost the performance of object detection and scene categorization.