Sep 2026· Zenodo (CERN European Organization for Nuclear Research)
Information Retrieval and Search Behavior
Abstract
NGramLang is a small domain-specific language and interpreter designed to make the mechanics of document retrieval explicit and executable. Through ten declarative commands, a user loads text documents, aggregates them into a corpus, and ranks them against a free-text query. The language front end is implemented with JavaCC and follows a single-pass interpretation model in which grammar actions build a typed symbol table and enforce semantic constraints such as n-gram-size agreement. The retrieval back end represents documents, corpora and queries as vectors of overlapping character n-grams and scores documents using the Okapi BM25 weighting function with its standard parameters (k = 2.0, b = 0.75). The paper describes the grammar, the interpretation strategy, the vectorization procedure and the ranking model, and illustrates execution with a worked example.
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Software startup companies develop innovative, software-intensive products within limited timeframes and with few resources, searching for sustainable and scalable business models.
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The application of agile software methods and more recently the integration of Lean practices contribute to the trend of continuous improvement in the software industry. One such area warranting proper empirical evidence is a project’s operational efficiency when using the Kanban method. This short paper takes a new angle and explores waste in the Kanban-driven software development project context. A preliminary research model is presented for helping the consequent replication of the study. The results from the empirical analysis suggest Kanban can be an effective method in visualizing and organizing the current work, but does not prevent waste from creeping in, although the overall project outcome may be successful.
Marko Ikonen, Petri Kettunen, Nilay V. Oza et al.· EUROMICRO Conference on Soft...· 67 citations· ⚡9
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