Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Automated incremental pairwise testing of software product lines
S Oster, F Markert, P Ritter - International Conference on Software Product …, 2010 - Springer
Abstract Testing Software Product Lines is very challenging due to a high degree of
variability leading to an enormous number of possible products. The vast majority of today's …
variability leading to an enormous number of possible products. The vast majority of today's …
Pairwise testing for software product lines: comparison of two approaches
Abstract Software Product Lines (SPL) are difficult to validate due to combinatorics induced
by variability, which in turn leads to combinatorial explosion of the number of derivable …
by variability, which in turn leads to combinatorial explosion of the number of derivable …
GAC via unit propagation
F Bacchus - International conference on principles and practice of …, 2007 - Springer
In this paper we argue that an attractive and potentially very general way of achieving
generalized arc consistency (GAC) on a constraint is by using unit propagation (UP) over a …
generalized arc consistency (GAC) on a constraint is by using unit propagation (UP) over a …
[PDF][PDF] Feature model-based software product line testing.
S Oster - 2011 - tuprints.ulb.tu-darmstadt.de
ABSTRACT Software Product Line (SPL) engineering is a popular approach for the
systematic reuse of software artifacts across a very large number of similar products. SPLs …
systematic reuse of software artifacts across a very large number of similar products. SPLs …
[SÁCH][B] On formal methods for large-scale product configuration
A Voronov - 2013 - search.proquest.com
In product development companies mass customization is widely used to achieve better
customer satisfaction while kee** costs down. To efficiently implement mass …
customer satisfaction while kee** costs down. To efficiently implement mass …
Domain dependent parameter setting in sat solver using machine learning techniques
F Beskyd, P Surynek - International Conference on Agents and Artificial …, 2022 - Springer
We address the problem of variable and truth-value choice in modern search-based
Boolean satisfiability (SAT) solvers depending on the problem domain. The SAT problem is …
Boolean satisfiability (SAT) solvers depending on the problem domain. The SAT problem is …
[PDF][PDF] Parameter Setting in SAT Solver using Machine Learning Techniques.
Boolean satisfiability (SAT) solvers are essential tools for many domains in computer
science and engineering. Modern complete search-based SAT solvers represent a universal …
science and engineering. Modern complete search-based SAT solvers represent a universal …
On the subexponential-time complexity of CSP
Not all NP-complete problems share the same practical hardness with respect to exact
computation. Whereas some NP-complete problems are amenable to efficient computational …
computation. Whereas some NP-complete problems are amenable to efficient computational …
A dynamic software product line approach for planning and execution of reconfigurations in self-adaptive systems
M Pfannemüller - 2017 - madoc.bib.uni-mannheim.de
Model-based autonomic computing systems facilitate the planning capabilities inside the
adaptation logic. However, it is challenging to capture the complete reconfiguration behavior …
adaptation logic. However, it is challenging to capture the complete reconfiguration behavior …
Propagation in CSP and SAT
Y Dimopoulos, K Stergiou - … Conference on Principles and Practice of …, 2006 - Springer
Abstract Constraint Satisfaction Problems and Propositional Satisfiability, are frameworks
widely used to represent and solve combinatorial problems. A concept of primary …
widely used to represent and solve combinatorial problems. A concept of primary …