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A detailed analysis of the KDD CUP 99 data set
TLDR
A new data set is proposed, NSL-KDD, which consists of selected records of the complete KDD data set and does not suffer from any of mentioned shortcomings. Expand
Assessing the maintainability of software product line feature models using structural metrics
TLDR
Results obtained from the controlled experiment support the idea that useful prediction models can be built for the purpose of evaluating feature model maintainability using early structural metrics. Expand
Evolutionary Search-Based Test Generation for Software Product Line Feature Models
TLDR
This paper will show through the use of several publicly-available product line feature models that the proposed approach is able to generate test suites of O(n) size complexity as opposed to O(2n) while at the same time form a suitable tradeoff balance between error coverage and feature coverage in its generated test suites. Expand
Stratified Analytic Hierarchy Process: Prioritization and Selection of Software Features
TLDR
This paper proposes an extension of feature models with capabilities for capturing business oriented requirements, and proposes a novel method, the Stratified Analytic Hierarchy process, which first helps to rank and select the most relevant high level business objectives for the target stakeholders, and then helps toRank and selectThe most relevant features from the feature model to be used as the starting point in the staged configuration process. Expand
Configuring Software Product Line Feature Models Based on Stakeholders' Soft and Hard Requirements
TLDR
This paper shows how the structure and constraints of a feature model can be modeled uniformly through Propositional Logic extended with concrete domains, called P(N), and formalizes the representation of soft constraints in fuzzy P( N) and explains how semi-automated feature model configuration is performed. Expand
A Metrics-Driven Approach for Quality Assessment of Linked Open Data
TLDR
This paper proposes and validate a set of metrics for evaluating the inherent quality characteristics of a dataset before it is released to the Linked Open Data Cloud and establishes a starting point for a systematic inherent quality analysis of open datasets. Expand
Dynamic decision models for staged software product line configuration
TLDR
Initial exploratory empirical experiments show that the proposed approach for helping stakeholders understand their feature preferences and its associated staged feature model configuration process is able to positively impact the quality of the end results of the application engineering process within the context of the limited number of participants. Expand
Automated planning for feature model configuration based on functional and non-functional requirements
TLDR
This work proposes a framework, which employs an artificial intelligence planning technique to automatically select suitable features that satisfy both the stakeholders' functional and non-functional preferences and constraints and shows that despite the complexity involved with the simultaneous consideration of both functional andNon-functional properties the configuration technique is scalable. Expand
Decision support for the software product line domain engineering lifecycle
TLDR
A decision support platform that assists domain analysts throughout the domain engineering lifecycle byautomatically performing natural language processing tasks over domain documents and identifying important information for the domain analysts such as the features and integrity constraints that exist in the domain documents is proposed. Expand
Document Retrieval Model Through Semantic Linking
TLDR
This paper addresses the task of document retrieval based on the degree of document relatedness to the meanings of a query by presenting a semantic-enabled language model that adopts a probabilistic reasoning model for calculating the conditional probability of a queries concept given values assigned to document concepts. Expand
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