Architectural technical debt identification:The research landscape

Architectural Technical Debt (ATD) regards sub-optimal design decisions that bring short-term benefits to the cost of long-term gradual deterioration of the quality of the architecture of a software system. The identification of ATD strongly influences the technical and economic sustainability of software systems and is attracting growing interest in the scientific community. During the years several approaches for ATD identification have been conceived, each of them addressing ATD from different perspectives and with heterogeneous characteristics. In this paper we apply the systematic mapping study methodology for identifying, classifying, and evaluating the state of the art on ATD identification from the following three perspectives: publication trends, characteristics, and potential for industrial adoption. Specifically, starting from a set of 509 potentially relevant studies, we systematically selected 47 primary studies and analyzed them according to a rigorously-defined classification framework. The analysis of the obtained results supports both researchers and practitioners by providing (i) an assessment of current research trends and gaps in ATD identification, (ii) a solid foundation for understanding existing (and future) research on ATD identification, and (iii) a rigorous evaluation of its potential for industrial adoption

Knowledge management frameworks in software engineering:a mapping study

Abstract. Knowledge is an important resource that enables organizations to survive in an ever-changing environment. The basic conceptual structure that describes the processes of internal knowledge transfer and transformation is a knowledge management framework, which serves as a foundation for an effective knowledge management strategy. Software engineering processes have some inherent knowledge management in them, but the process alone does not adequately address knowledge management. The main research question was what kind of research has been done on knowledge management frameworks in software engineering. Three assisting research questions were formed to answer the main research question: What types of papers are being published? What are the keywords covered by the knowledge management framework publications? What types of scientific contributions have the publications made? This thesis used mapping study to get an overview into the research efforts made regarding knowledge management frameworks in software engineering. The study used 76 papers from the database of Institute of Electrical and Electronics Engineers (IEEE), which were examined and assigned to multiple categorization schemes, which included research type, keyword coverage, research context, contribution facet and the knowledge management framework type. These resulting categorisations were used to determine the answers to research questions and give insight into the efforts made on knowledge managements frameworks. The results suggest that the efforts on knowledge management frameworks have been consistent over the last 20 years with a peak that corresponds to the popularity trend of research on knowledge management. The publications have been emphasizing few key areas in each categorization scheme. The areas that lack publications are identified, which indicate a research gap

Architectural decision-making as a financial investment:An industrial case study

Context Making architectural decisions is a crucial task but also very difficult, considering the scope of the decisions and their impact on quality attributes. To make matters worse, architectural decisions need to combine both technical and business factors, which are very dissimilar by nature. Objectives We provide a cost-benefit approach and supporting tooling that treats architectural decisions as financial investments by: (a) combining both technical and business factors; and (b) transforming the involved factors into currency, allowing their uniform aggregation. Apart from illustrating the method, we validate both the proposed approach and the tool, in terms of fitness for purpose, usability, and potential limitations. Method To validate the approach, we have performed a case study in a software development company, in the domain of low-energy embedded systems. We employed triangulation in the data collection phase of the case study, by performing interviews, focus groups, an observational session, and questionnaires. Results The results of the study suggested that the proposed approach: (a) provides a structured process for systematizing decision-making; (b) enables the involvement of multiple stakeholders, distributing the decision-making responsibility to more knowledgeable people; (c) uses monetized representations that are important for assessing decisions in a unified manner; and (d) enables decision reuse and documentation. Conclusions The results of the study suggest that architectural decision-making can benefit from treating this activity as a financial investment. The various benefits that have been identified from mixing financial and technological aspects are well-accepted from industrial stakeholders

Mining Architectural Information: A Systematic Mapping Study

Context: Mining Software Repositories (MSR) has become an essential activity in software development. Mining architectural information to support architecting activities, such as architecture understanding and recovery, has received a significant attention in recent years. However, there is an absence of a comprehensive understanding of the state of research on mining architectural information. Objective: This work aims to identify, analyze, and synthesize the literature on mining architectural information in software repositories in terms of architectural information and sources mined, architecting activities supported, approaches and tools used, and challenges faced. Method: A Systematic Mapping Study (SMS) has been conducted on the literature published between January 2006 and November 2021. Results: Of the 79 primary studies finally selected, 8 categories of architectural information have been mined, among which architectural description is the most mined architectural information; 12 architecting activities can be supported by the mined architectural information, among which architecture understanding is the most supported activity; 81 approaches and 52 tools were proposed and employed in mining architectural information; and 4 types of challenges in mining architectural information were identified. Conclusions: This SMS provides researchers with promising future directions and help practitioners be aware of what approaches and tools can be used to mine what architectural information from what sources to support various architecting activities.Comment: 68 pages, 5 images, 15 tables, Manuscript submitted to a Journal (2022

Minimum Viable Model (MVM) Methodology for Integration of Agile Methods into Operational Simulation of Logistics

Background: Logistics problems involve a large number of complexities, which makes the development of models challenging. While computer simulation models are developed for addressing complexities, it is essential to ensure that the necessary operational behaviours are captured, and that the architecture of the model is suitable to represent them. The early stage of simulation modelling, known as conceptual modelling (CM), is thus dependent on successfully extracting tacit operational knowledge and avoiding misunderstanding between the client (customer of the model) and simulation analyst. Objective: This paper developed a methodology for managing the knowledge-acquisition process needed to create a sufficient simulation model at the early or the CM stage to ensure the correctness of operation representation. Methods: A minimum viable model (MVM) methodology was proposed with five principles relevant to CM: iterative development, embedded communication, soliciting tacit knowledge, interactive face validity, and a sufficient model. The method was validated by a case study of freight operations, and the results were encouraging. Conclusions: The MVM method improved the architecture of the simulation model through eliciting tacit knowledge and clearing up communication misunderstandings. It also helped shape the architecture of the model towards the features most appreciated by the client, and features not needed in the model. Originality: The novel contribution of this work is the presentation of a method for eliciting tacit information from industrial clients, and building a minimally sufficient simulation model at the early modelling stage. The framework is demonstrated for logistics operations, though the principles may benefit simulation practitioners more generally.</jats:p

Technical Debt: An empirical investigation of its harmfulness and on management strategies in industry

Background: In order to survive in today\u27s fast-growing and ever fast-changing business environment, software companies need to continuously deliver customer value, both from a short- and long-term perspective. However, the consequences of potential long-term and far-reaching negative effects of shortcuts and quick fixes made during the software development lifecycle, described as Technical Debt (TD), can impede the software development process.Objective: The overarching goal of this Ph.D. thesis is twofold. The first goal is to empirically study and understand in what way and to what extent, TD influences today’s software development work, specifically with the intention to provide more quantitative insight into the field. Second, to understand which different initiatives can reduce the negative effects of TD and also which factors are important to consider when implementing such initiatives.Method: To achieve the objectives, a combination of both quantitative and qualitative research methodologies are used, including interviews, surveys, a systematic literature review, a longitudinal study, analysis of documents, correlation analysis, and statistical tests. In seven of the eleven studies included in this Ph.D. thesis, a combination of multiple research methods are used to achieve high validity.Results: We present results showing that software suffering from TD will cause various negative effects on both the software and the developing process. These negative effects are illustrated from a technical, financial, and a developer’s working situational perspective. These studies also identify several initiatives that can be undertaken in order to reduce the negative effects of TD.Conclusion: The results show that software developers report that they waste 23% of their working time due to experiencing TD and that TD required them to perform additional time-consuming work activities. This study also shows that, compared to all types of TD, architectural TD has the greatest negative impact on daily software development work and that TD has negative effects on several different software quality attributes. Further, the results show that TD reduces developer morale. Moreover, the findings show that intentionally introducing TD in startup companies can allow the startups to cut development time, enabling faster feedback and increased revenue, preserve resources, and decrease risk and thereby contribute to beneficial\ua0effects. This study also identifies several initiatives that can be undertaken in order to reduce the negative effects of TD, such as the introduction of a tracking process where the TD items are introduced in an official backlog. The finding also indicates that there is an unfulfilled potential regarding how managers can influence the manner in which software practitioners address TD

Architectural Debt Management in Value-oriented Architecting

Architectural technical debt (ATD) may be incurred when making architecture decisions. In most cases, ATD is not effectively managed in the architecting process: It is not made explicit, and architecture decision making does not consider the ATD incurred by the different design options. This chapter proposes a conceptual model of ATD and an architectural technical debt management process applying this ATD conceptual model in order to facilitate decision making in a value-oriented perspective of architecting. We also demonstrate how ATD management can be employed in architectural synthesis and evaluation in a case study. The contribution of this work provides a controllable and predictable balance between the value and cost of architecture design in the long term