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Using Multivariate Statistics

Probability Distributions.- Linear Models for Regression.- Linear Models for Classification.- Neural Networks.- Kernel Methods.- Sparse Kernel Machines.- Graphical Models.- Mixture Models and EM.- Approximate Inference.- Sampling Methods.- Continuous Latent Variables.- Sequential Data.- Combining Models.

Pattern Recognition and Machine Learning

[서평]「The Unified Modeling Language User Guide」

Technical foundations introduction software reliability and system reliability the operational profile software reliability modelling survey model evaluation and recalibration techniques practices and experiences best current practice of SRE software reliability measurement experience measurement-based analysis of software reliability software fault and failure classification techniques trend analysis in validation and maintenance software reliability and field data analysis software reliability process assessment emerging techniques software reliability prediction metrics software reliability and testing fault-tolerant SRE software reliability using fault trees software reliability process simulation neural networks and software reliability. Appendices: software reliability tools software failure data set repository.

/pdf/handbook-of-software-reliability-engineering-32dwvaljmm.pdf

Handbook of software reliability engineering

コンピュータ・サイエンス : ACM computing surveys

Topics in source code can be identified using Latent Dirichlet Allocation (LDA) by receiving source code, identifying domain specific keywords from the source code, generating a keyword matrix, processing the keyword matrix and the source code using LDA, and outputting a list of topics. The list of topics is output as collections of domain specific keywords. Probabilities of domain specific keywords belonging to their respective topics can also be output. The keyword matrix comprises weighted sums of occurrences of domain specific keywords in the source code.

/pdf/identification-of-topics-in-source-code-15tydt3zt8.pdf

Identification of topics in source code

A system and method for generating architecture for a business system is disclosed. The method comprises, in one embodiment, modeling a plurality of viewpoints adapted for describing the architecture of the business system in form of a collection of views and viewpoints and creating a software organization viewpoint adapted for providing architecture guidelines. An exemplary method further comprises creating a first plurality of notations for each of the plurality of viewpoints for describing the plurality of viewpoints and creating a second plurality of notations for capturing design rationale indicative of the first plurality of notations. Furthermore, an exemplary method comprises generating the architecture of the business system using at least one of the plurality of viewpoints or the software organization viewpoint, or at least the second plurality of notations, or combinations thereof.

System for modeling architecture for business systems and methods thereof

Discovery of architectural layers and measurement of layering violations in source code

The layered architecture pattern has been widely adopted by the developer community in order to build large software systems. The layered organization of software modules offers a number of benefits such as reusability, changeability and portability to those who are involved in the development and maintenance of such software systems. But in reality as the system evolves over time, rarely does the actual source code of the system conform to the conceptual horizontal layering of modules. This in turn results in a significant degradation of system maintainability. In order to re-factor such a system to improve its maintainability, it is very important to discover, analyze and measure violations of layered architecture pattern. In this paper we propose a technique to discover such violations in the source code and quantitatively measure the amount of non-conformance to the conceptual layering. The proposed approach evaluates the extent to which the module dependencies across layers violate the layered architecture pattern. In order to evaluate the accuracy of our approach, we have applied this technique to discover and analyze such violations to a set of open source applications and a proprietary business application by taking the help of domain experts wherever possible.

A Method for Detecting and Measuring Architectural Layering Violations in Source Code

Practitioners spend significant amounts of time creating high-level design from requirements. Though there exist methodologies to describe and manage requirements and design artifacts, there is not yet an automated way to faithfully translate a requirement into a high-level design. While it is extremely difficult to generate design elements from free-form natural language due to its inherent ambiguity, it is possible to significantly improve the accuracy of the design from relatively structured and constrained natural language. In this paper we propose a technique to generate high-level class diagrams from a set of requirements, using a set of requirement-specific heuristics. In this approach, we leverage work we had previously done to first process a requirement statement to classify it into a requirement type, and then break it into various constituents. Depending on the requirement type and its constituents, our heuristics then discover a functional design comprising of coarse-grained modules, their relationships and responsibilities. We express the design as a UML class diagram in IBM Rational Software Architect (RSA) format. Our preliminary investigation shows that the resulting class diagram is rich, and can be used by practitioners as a basis for further design.

Santonu Sarkar

Papers

Identification of topics in source code

System for modeling architecture for business systems and methods thereof

Discovery of architectural layers and measurement of layering violations in source code

A Method for Detecting and Measuring Architectural Layering Violations in Source Code

Extracting High-Level Functional Design from Software Requirements