In this paper, we construct new sequences of asymptotically good convolutional codes (AGCC). These sequences are obtained from sequences of transitive, self-orthogonal and self-dual algebraic geometry (AG) codes attaining the Tsfasman-Vladut-Zink bound. Furthermore, by applying the techniques of expanding, extending, puncturing, direct sum, the 〈u|u+ v〉 construction and the product code constru...

Developers evolve software product lines (SPLs) manually or using typical program refactoring tools. However, when evolving an SPL to introduce new features or to improve its design, it is important to make sure that the behavior of existing products is not affected. Typical program refactorings cannot guarantee that because the SPL context goes beyond code and other kinds of core assets, and i...

Product line engineering deals with managing and implementing the variability among a set of related products. We distinguish between two kinds of variability: configuration and customization. Customization variability can be described using programming language code or creative construction DSLs, whereas configuration variability is described using configuration based approaches, such as featu...

Software product lines have proved to be a successful and efficient means for managing the development of software in industry. The significant benefits over traditional software architectures have the potential to convince software companies to adopt the product line approach for their existing products. In that case, the question arises how to best convert the existing products into a softwar...

Traceability links between requirements and source code are helpful in software reuse and maintenance tasks. However, manually recovering links in a large group of products requires significant costs and some links may be overlooked. Here, we propose a semi-automatic method to recover traceability links between requirements and source code in the same series of large software products. In order...

Software Product Lines (SPL) can be used to create and maintain different variants of software-intensive systems by explicitly managing variability. Often, SPLs are organized as an SPL core, common to all products, upon which product-specific components are built. Following the so called grow-and-prune model, SPLs may be evolved by copy&paste at large scale. New products are created from existi...

Let R = Z4[v]/〈v 2 + 2v〉 = Z4 + vZ4 (v 2 = 2v) and n be an odd positive integer. Then R is a local non-principal ideal ring of 16 elements and there is a Z4-linear Gray map from R onto Z 2 4 which preserves Lee distance and orthogonality. First, a canonical form decomposition and the structure for any negacyclic code over R of length 2n are presented. From this decomposition, a complete classif...

The objective of feature modeling is to foster software reuse by enabling to explicitly and abstractly express commonality and variability in the domain. Feature modeling is used to configure other models and, eventually, code. These software assets are being configured by the feature model based on the selection of variable features. However, selecting a feature is far from a naive component b...

A. two-step sub-optimal algorithm for decoding binary product codes is discussed. This algorithm realizes at least half the minimum Euclidean distance of the code. The fundamental geometric properties associated with the algorithm are investigated, and bounds on the number of nearest neighbors are derived. This investigation also results with an improved algorithm which achieves the minimum eff...

Infrastructure-as-code (IaC) is the DevOps practice enabling management and provisioning of infrastructure through definition machine-readable files, hereinafter referred to as IaC scripts . Similarly other source code artefacts, these files may contain defects that can preclude their correct f...